Mozumder S.I., Dickman P.W., Rutherford M.R., Lambert P.C. InterPreT cancer survival: A dynamic web interactive prediction cancer survival tool for health-care professionals and cancer epidemiologists. Cancer Epidemiology 2018 (in press)

Weibull C.E., Johansson A.L.V., Eloranta S., Smedby K.E., Björkholm M., Lambert P.C., Dickman P.W., Glimelius I. Contemporarily treated Hodgkin lymphoma patients have childbearing potential in line with matched comparators. Journal of Clinical Oncology 2018 (in press)

Plym A, Bower H., Fredriksson I., Holmberg L., Lambert P.C., Lambe M. Loss in working years after a breast cancer diagnosis. British Journal of Cancer 2018;118:738-743

Mozumder S.I., Rutherford M.J., Lambert P.C. Direct likelihood inference on the cause-specific cumulative incidence function: a flexible parametric regression modelling approach. Statistics in Medicine 2018;37:82-97

Bower H., Andersson T.M-L., Crowther M.J., Dickman P.W., Lambe M., Lambert P.C. Adjusting expected mortality rates using information from a control population: An example using socioeconomic status. American Journal of Epidemiology 2018;187:828-836


Syriopoulou E., Bower H., Andersson T.M-L., Lambert P.C., Rutherford M.J. Estimating the impact of a cancer diagnosis on life expectancy by socioeconomic group for a range of cancer types in England. British Journal of Cancer 2017;117:1419–1426

Crowther M.J., Lambert P.C. Parametric multi-state survival models: flexible modelling allowing transition-specific distributions with application to estimating clinically useful measures of effect differences. Statistics in Medicine 2017:36:4719-4742

Mozumder S.I., Rutherford M.J., Lambert P.C. stpm2cr: A flexible parametric competing risks model using a direct likelihood approach for the cause-specific cumulative incidence function. The Stata Journal 2017:17:462-489.

Peters T.L., Weibull C.E, Fang F., Sandler D.P., Lambert P.C., Ye W., Kamel F. Association of Fractures with the Incidence of Amyotrophic Lateral Sclerosis. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration 2017:18:419-425.

Lambert P.C., Wilkes S.R. Crowther M.J. Flexible parametric modelling of the cause-specific cumulative incidence function. Statistics in Medicine 2017:19;1429-1446.

Lambert P.C. The estimation and modeling of cause-specific cumulative incidence functions using time-dependent weights. The Stata Journal 2017:17;181-207.


Bower H.,Lambert P.C., Crowther M.J.strcs: A command for fitting flexible parametric survival models on the log-hazard scale. The Stata Journal 2016;16:989-1012.

Bower H., Björkholm M., Dickman P.W., Höglund M., Lambert P.C., Andersson T.M.. Reply to D. Pulte et al. Journal of Clinical Oncology 2016;35:696-697.

Cramb S.M., Mengersen K.L., Lambert P.C., Ryan L.M., Baade P.D. A flexible parametric approach to examining spatial variation in relative survival. Statistics in Medicine;35:5448-5463.

Edgren G., Hjalgrim H., Rostgaard K., Lambert P.C., Wikman A., Norda R., Titlestad K.-E., Erikstrup C., Ullum H., Melbye M., Busch M. P., Nyrén, O. Transmission of Neurodegenerative Disorders Through Blood Transfusion: A Cohort Study. Ann Intern Med, 2016.

Bower H., Björkholm M., Dickman P.W., Högland M., Lambert P.C., Andersson T.M-L Life expectancy of patients with chronic myeloid leukemia approaches the life expectancy of the general population. JCO 2016;24:2851-2857.

Latimer N.R., Abrams K.R., Lambert P.C., Morden J.P., Crowther M.J. Assessing methods for dealing with treatment switching in clinical trials: A follow-up simulation study. Statistical Methods in Medical Research 2016(in press).

Bower H., Andersson T.M-L., Björkholm M., Dickman P.W., Lambert P.C., Rangert Derol Å. Continued improvement in survival of acute myeloid leukemia patients: An application of the loss in expectation of life. Blood Cancer Journal 2016;6:e390

Crowther M.J., Lambert, P.C., Andersson T.M., Abrams K.R., Humphreys K. Joint modelling of longitudinal and survival data: Incorporating delayed entry and an assessment of model misspecification. Statistics in Medicine 2016;35:1193-209


Lambert P.C, Dickman P.W., Rutherford M.J. Comparison of Different Approaches to Estimating Age Standardized Net Survival. BMC Medical Research Methodology 2015;15:64.

Hultcrantz M., Wilkes S.R., Kristinsson S.Y., Andersson T.M., Derolf Å.R., Eloranta S., Samuelsson J., Landgren O., Dickman P.W., Lambert P.C., Björkholm M. Risk and Cause of Death in Patients Diagnosed With Myeloproliferative Neoplasms in Sweden Between 1973 and 2005: A Population-Based Study. JCO 2015;33:2288-2295

Andersson T.M., Dickman P.W., Eloranta S., Sjövall A., Lambe M., Lambert P.C. The loss in expectation of life after colon cancer: a population-based study. BMC Cancer 2015;15:412

Rutherford M.J., Abel G.A., Greenberg D.C., Lambert P.C, Lyratzopoulos G. Estimating the potential survival gains by eliminating socioeconomic and sex inequalities in stage at diagnosis of melanoma. British Journal of Cancer 2015;12:S124-8;S116-23

Rutherford M.J., Ironmonger L., Ormiston-Smith N., Abel G.A., Greenberg D.C., Lyratzopoulos G., Lambert P.C. The impact of eliminating age inequalities in stage at diagnosis on breast cancer survival for older women. British Journal of Cancer 2015;12:S124-8

Rutherford M.J., Andersson T.M-L., Møller H., Lambert P.C. Understanding the impact of socioeconomic differences in breast cancer survival in England and Wales: Avoidable deaths and potential gain in expectation of life. Cancer Epidemiology 2015;39:118-25.

Latimer N.R., Abrams K.R., Lambert P.C., Crowther M.J., Wailoo A., Morden J., Akehurst R., Campbell M. Adjusting for treatment switching in randomised controlled trials - A simulation study and a simplified two-stage method. Stat Methods Med Res 2015:

Rutherford M.J., Crowther M.J., Lambert, P.C. The use of restricted cubic splines to approximate complex hazard functions in the analysis of time-to-event data: a simulation study. Journal of Statistical Computation and Simulation 2015;4:777–793


Crowther M.J., Lambert, P.C. A general framework for parametric survival analysis. Statistics in Medicine 2014;33:5280-97

Eloranta S., Lambert P.C., Andersson T.M-L., Björkholm M., Dickman P.W. The application of cure models in the presence of competing risks - a tool for improved risk communication in population-based cancer patient survival studies. Epidemiology 2014;25:742-8

Latimer N.R., Abrams K.R., Lambert P.C., Crowther M.J., Wailoo A.J., Morden J.P, Akehurst R.L., Campbell M.J. Adjusting survival time estimates to account for treatment switching in randomized controlled trials—an cconomic evaluation context: Methods, limitations, and recommendations. Medical Decision Making 2014;34:387-402

Andersson T.M-L., Eriksson H., Hansson J., Månsson-Brahme E., Dickman P.W., Eloranta S., Lambe M., Lambert P.C. Estimating the cure proportion of malignant melanoma, an alternative approach to assess long term survival; a population-based study. Cancer Epidemiology 2014;38:93-9

Gao H., Hägg S., Sjögren P., Lambert P.C., Ingelsson E., van Dam R.M. Serum selenium in relation to measures of glucose metabolism and incidence of type 2 diabetes in an older Swedish population. Diabetic Medicine 2014;31:787-93

Feldman A.L., Johansson A.L.V., Lambert P.C., Sieurin J., Yang F, Pedersen N.L., Wirdefeldt K. Familial Co-aggregation of Alzheimer’s Disease and Parkinson’s Disease: Systematic Review and Meta-Analysis. Neuroepidemiology 2014;42:69-80


Crowther M.J., Lambert P.C., Abrams K.R. Adjusting for measurement error in baseline prognostic biomarkers included in a time-to-event analysis: A joint modelling approach. BMC Medical Research Methodology 2013;13:146

Yu X.Q., De Angelis R., Andersson T.M-L, Lambert P.C., O’Connell D.L., Dickman P.W. Estimating the proportion cured of cancer: some practical advice for users. Cancer Epidemiology 2013;37:836-842

Andersson T.M-L., Dickman P.W., Eloranta S., Lambe M., Lambert P.C. Estimating the loss in expectation of life due to cancer using flexible parametric survival models. Statistics in Medicine 2013;32:5286–5300

Ahyow L.C., Lambert P.C., Jenkins D.R., Neal K.R. Tobin M. Bed occupancy rates and hospital acquired Clostridium difficile infection, a cohort study. Infection Control and Hospital Epidemiology 2013;34:1062-9

Shah A., Andersson T. M-L., Rachet B., Björkholm M., Lambert P.C. Survival and cure of acute myeloid leukaemia in England, 1971-2006: a population-based study. British Journal of Haematology 2013;162:509-16

Rutherford M.J., Hinchliffe S.R., Abel, G, Lyratzopoulos G., Lambert P.C., Greenberg, D. How much of the deprivation gap in cancer survival can be explained by variation in stage at diagnosis: an example from breast cancer in the East of England. International Journal of Cancer 2013;133:2192-200

Crowther M.J., Lambert P.C. Simulating biologically plausible complex survival data. Statistics in Medicine 2013;32:4118–4134

Hinchliffe S.R., Seaton S.E., Lambert P.C., Draper E.S., Field D.J., Manktelow B.N. Modelling time to death or discharge in neonatal care: an application of competing risks. Paediatric and Perinatal Epidemiology 2013;27:426-33

Hinchliffe S.R., Scott D.A., Lambert P.C. Flexible parametric illness-death models. The Stata Journal 2013;13:759-775

Hinchliffe S.R., Lambert P.C. Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions. BMC Medical Research Methodology 2013;13:13

Eloranta S. Adolfsson J., Lambert P.C., Stattin P., Akre O., Andersson T.M-L., Dickman P.W. How can we make cancer survival statistics more useful for patients and clinicians: An illustration using localized prostate cancer in Sweden. Cancer Causes Control 2013;24:505-15

Crowther MJ, Lambert PC. stgenreg: A Stata Package for General Parametric Survival Analysis. Journal of Statistical Software 2013,53:12

Rutherford M.J., Møller H, Lambert P.C. A comprehensive assessment of the impact of errors in the cancer registration process on 1- and 5-year relative survival estimates. British Journal of Cancer 2013;108:691-8

Eloranta S., Lambert P.C., Sjöberg J., Andersson T.M-L., Björkholm M. , Dickman P.W. Temporal trends in mortality from diseases of the circulatory system after treatment for Hodgkin lymphoma - A population-based cohort study in Sweden (1973-2006). Journal of Clinical Oncology 2013;31:1435-1441

Crowther M.J., Abrams K.R., Lambert P.C. Joint modelling of longitudinal and survival data. The Stata Journal 2013;13:165-184

Hinchliffe S.R., Lambert P.C. Extending the flexible parametric survival model for competing risks. The Stata Journal 2013;13:344-355

Cvancarova M., Aagnes B., Fosså S.D., Lambert P.C., Møller B., Bray F. Proportion cured models applied to 23 cancer sites in Norway. International Journal of Cancer 2013;132:1700-10.

Hinchliffe S.R., Abrams K.R, Lambert P.C. The Impact of Under and Over-recording of Cancer on Death Certificates in a Competing Risks Analysis: A Simulation Study. Cancer Epidemiology 2013;37:11-9.


Rutherford M.J., Thompson, J.T., Lambert P.C. Projecting Cancer Incidence using Age-period-cohort Models Incorporating Restricted Cubic Splines. The International Journal of Biostatistics 2012;8:33.

Crowther M.J., Abrams K.R, Lambert P.C. Flexible parametric joint modelling of longitudinal and survival data. Statistics in Medicine 2012;31:4456-4471.

Crowther M.J., Lambert P.C. Simulating complex survival data. The Stata Journal 2012;12:674-687.

Eloranta S., Lambert P.C., Andersson T.M-L, Czene K., Hall P., Björkholm M., Dickman P.W. Partitioning of excess mortality in population-based cancer patient survival studies using flexible parametric survival models. BMC Medical Research Methodology 2012;12:86.

Andersson T. M-L., Lambert P.C. Estimating and modeling cure in population-based cancer studies within the framework of flexible parametric survival models. The Stata Journal 2012;12:623-628.

Shack L.G., Shah A., Lambert P.C., Rachet B. Cure by age and stage at diagnosis for colorectal cancer patients in North West England, 1997–2004: A population-based study. Cancer Epidemiology 2012;36:548-553.

Hinchliffe S.R., Rutherford M.J. Crowther M.J, Nelson, C.P. Lambert P.C. Should relative survival be used with lung cancer data? British Journal of Cancer 2012;106:1854-1859.

Andrae B., Andersson T. M-L., Lambert P.C., Kemetli L., Silfverdal L., Strander B., Ryd W., Dillner J., Törnberg S., Sparén P. Screening and cervical cancer cure: population based cohort study. BMJ 2012;344:e900

Crowther M.J., Riley R.D., Staessen J.A., Wang J., Gueyffier F., Lambert P.C. Individual patient data meta-analysis of survival data using Poisson regression models. BMC Medical Research Methodology 2012;12(1):34.

Hinchliffe S.R., Dickman P.W., Lambert P.C. Adjusting for the proportion of cancer deaths in the general population when using relative survival: a sensitivity analysis. Cancer Epidemiology 2012;36:148-152.

Holmberg L., Robinson D., Sandin F., Bray F., Linklater K.M., Klint A., Lambert P.C., Adolfsson J., Hamdy F., Catto J., Møller H. A comparison of prostate cancer survival in England, Norway and Sweden: a population-based study. Cancer Epidemiology 2012;36:e7-e112

Rutherford M.J., Dickman, P.W., Lambert P.C. Comparison of methods for calculating relative survival in population-based cancer studies. Cancer Epidemiology 2012;36:16-21


Møller H., Sandin F., Robinson D., Bray F., Klint Å., Linklater K.M., Lambert P.C., Påhlman L., Holmberg L., Morris E. Colorectal cancer survival in socioeconomic groups in England: variation is mainly in the short term after diagnosis. European Journal of Cancer 2011;48:46-53

Lambert P.C., Holmberg L., Sandin F., Bray F., Linklater K.M., Purushotham A., Robinson D., Møller H. Quantifying differences in breast cancer survival between England and Norway. Cancer Epidemiology 2011;35:526-533

Hakulinen, T., Seppa, K., Lambert P.C. Choosing the relative survival method for cancer survival estimation. European Journal of Cancer 2011;47:2202-2210.

Andersson T.M-L., Dickman P.W., Eloranta S., Lambert P.C. Estimating and modelling cure in population-based cancer studies within the framework of flexible parametric survival models. BMC Medical Research Methodology 2011;11:96

Eaker S., Wigertz A. Lambert P.C. Bergkvist L., Ahlgren J., Lambe M. Breast cancer, sickness absence, income and marital status. A study on life situation 1 year prior diagnosis compared to 3 and 5 years after diagnosis. PLoS ONE 2011;6(3):e18040

Morris E.J., Sandin F., Lambert P.C., Bray F., Klint A., Linklater K., Robinson D., Påhlman L., Holmberg L., Møller H. A population-based comparison of the survival of patients with colorectal cancer in England, Norway and Sweden between 1996 and 2004. Gut 2011;60:1087-1093

Morden J.P., Lambert P.C., Latimer N., Abrams K.R., Wailoo A.J. Assessing statistical methods for dealing with treatment switching in randomised controlled trials: A simulation study. BMC Methodology 2011;11(4).


Rutherford M.J., Lambert P.C. and Thompson J.R. Age-period-cohort modelling. The Stata Journal 2010;10:602-627.

Eloranta S., Lambert P.C., Cavalli-Bjorkman N., Andersson T.M-L., Glimelius B., Dickman P.W. Does socioeconomic status influence the prospect of cure from colon cancer-a population-based study in Sweden 1965-2000. European Journal Of Cancer 2010;46:2965-726.

Lambert P.C., Dickman P.W., Nelson C.P., Royston P. Estimating the crude probability of death due to cancer and other causes using relative survival models. Statistics in Medicine 2010;29:885-895.

Andersson T.M.L., Lambert P.C., Derolf Å.R., Kristinsson S.Y., Eloranta S., Landgren O., Björkholm M., Dickman P.W. Temporal trends in the proportion cured among adults diagnosed with acute myeloid leukemia in Sweden 1973-2001, a population-based study. British Journal of Haematology 2010;148:918-924.

Lambert P.C., Dickman P.W., Weston C.L., Thompson J.R. Estimating the cure fraction in population-based cancer studies using finite mixture models. Journal of the Royal Statistical Society (Series C) 2010;59:35-55.

Squire I.B., Nelson C.P., Ng L.L., Jones D.R., Woods K.L., Lambert P.C. Prognostic value of admission blood glucose concentration and diabetes diagnosis on survival after acute myocardial infarction; Results from 4702 index cases in routine practice. Clinical Science 2010;118:527-535.

Riley R.D., Lambert P.C., Abo-Zaid G. Meta-analysis of individual participant data: rationale, conduct and reporting. BMJ 2010;340:c221.


Lambert P.C., Royston P. Further devlopments of flexible parametric models for survival analysis. The Stata Journal 2009; 9: 265-290.

Larfors G., Lambert P.C., Lambe M., Ekbom A., Cnattingius S. Placental weight and breast cancer survival in young women. Cancer Epidemiology, Biomarkers & Prevention 2009;18:777-783.

Woods L.M., Rachet B. , Lambert P.C., Coleman, M.P. ‘Cure’ from breast cancer among two populations of women followed for 23 years after diagnosis. Annals of Oncology 2009;20:1331-1336.

Panickar J., Lakhanpaul M., Lambert P.C., Kenia P., Stephenson T., Smyth A., Grigg J. Oral prednisolone for preschool children with acute virus-induced wheezing. New England Journal of Medicine 2009;360;329-338.


Reynolds R., Lambert, P.C., Burton, P.R. Analysis, power and design of antimicrobial resistance surveillance studies, taking account of inter-centre variation and turnover. Journal of Antimicrobial Chemotherapy 2008;62;ii29-ii39.

Bhaskaran K, Hamouda O, Sannes M, Boufassa F, Johnson A.M., Lambert P.C., Porter K; CASCADE Collaboration. Changes in the risk of death after HIV seroconversion compared with mortality in the general population. JAMA 2008:300;51-9.

Gillies C.L., Lambert P.C., Abrams K.R., Sutton A.J., Cooper N.J., Hsu R., Davies M.J., Khunti K. Different strategies for screening and prevention of type 2 diabetes mellitus in adults: cost effectiveness analysis. BMJ 2008;336:1180-5.

Nelson C.P., Lambert P.C., Squire I.B., Jones D.R. Relative survival: what can cardiovascular disease learn from cancer? European Heart Journal 2008;29:941-7

Riley, R.D., Lambert P.C., Staessen J.A., Wang J., Gueyffier F. Meta-analysis of continuous outcomes combining individual patient data and aggregate data. Statistics in Medicine 2008:27:1870-1983

Lambert, P.C., Sutton, A.J., Burton, P.R., Abrams, K.R., Jones, D.R. Comments on ‘Trying to be precise about vagueness’ by Stephen Senn. Statistics in Medicine 2008;27:619-622

Lambert, P.C., Billingham, L.J., Cooper, N.J., Sutton, A.J., Abrams, K.R. Estimating the cost effectiveness of an intervention in a clinical trial when partial cost information is available: A Bayesian approach. Health Economics 2008;17:67-81. WinBUGS code


Nelson C.P., Lambert P.C., Squire I.B., Jones D.R. Flexible parametric models for relative survival, with application in coronary heart disease. Statistics in Medicine 2007;26:5486-5498.

Lambert, P.C., Dickman, P.W., Österlund, P., Andersson, T., Sankila, R., Glimelius, B. Temporal trends in the proportion cured for cancer of the colon and rectum: A population-based study using data from the Finnish Cancer Registry. International Journal of Cancer 2007;121:2052-2059

Lambert, P.C. Modelling of the Cure Fraction in Survival Studies. _The Stata Journa_l 2007; 7:351-375.

Riley, R.D., Abrams, K.R., Sutton, A.J., Lambert, P.C., Thompson, J.R. Bivariate random-effects meta-analysis and the estimation of between-study correlation. BMC Medical Research Methodology 2007; 7:3.

Gillies, C.L., Abrams, K.R., Lambert P.C., Cooper N.J., Sutton A.J., Hsu R.T., Khunti K. Pharmacological and lifestyle interventions to prevent or delay type 2 diabetes in people with impaired glucose tolerance: systematic review and meta-analysis. BMJ 2007;334:299-302

Lambert, P. C., J. R. Thompson, Weston, C. L., Dickman, P. W. (2007). Estimating and modelling the cure fraction in population-based cancer survival analysis. Biostatistics 2007;8:576-594.

Manca A., Lambert, P.C., Sculpher, M., Hahn, S., Rice, N. Cost-effectiveness analysis using data from multinational trials: The use of bivariate hierarchical modelling. Medical Decision Making 2007;27:471-490.

Sutton, A.J., Cooper, N.J., Jones, D.R., Lambert P.C., Thompson, J.R., Abrams, K.R. Evidence-based sample size calculations based upon updated meta-analysis. Statistics in Medicine 2007;26:2479-2500.

Cooper N.J., Lambert P.C., Abrams K.R., Sutton A.J. Predicting costs over time using Bayesian Markov chain Monte Carlo methods: An application to early inflammatory polyarthritis. Health Economics 2007;16:37-56

Riley, R.D., Abrams, K.R., Lambert, P.C., Sutton, A.J., Thompson, J.R. An evaluation of bivariate random-effects meta-analysis for the joint synthesis of two correlated outcomes. Statistics in Medicine 2007;26:78-97.


Lambert, P.C. Comment on Article by Browne and Draper. Bayesian Analysis 2006; 1(3):543-546.

Riley, R.D., Abrams, K.R., Lambert, P.C., Sutton, A.J., Altman, D.G. Where next for evidence synthesis of prognostic marker studies? Improving the quality and reporting of primary studies to facilitate clinically relevant evidence-based results. In: Auget J-L, Balakrishnan N, Mesbah M, Molenberghs G ed(s). Advances in Statistical Methods for the Health Sciences. Boston, Birkhauser and Springer.


Abrams, K.R., Gillies C.L., Lambert P.C. Meta-Analysis of Heterogeneously Reported Trials Assessing Change from Baseline. Statistics in Medicine 2005; 24:3823-3844.

Lambert, P.C, Smith, L.K., Jones, D.R., Botha, J.L. Additive and multiplicative covariate regression models for relative survival incorporating fractional polynomials for time-dependent effects. Statistics in Medicine 2005; 24:3871-3885.

Minelli C., Thompson, J.R., Abrams K.A., Lambert P.C. Bayesian implementation of a “model free” approach to the meta-analysis of genetic association studies. Statistics in Medicine 2005; 24:3845-3861.

Lambert, P.C., Sutton, A.J., Burton, P.R., Abrams, K.R., Jones, D.R. How Vague is Vague? A simulation study of the impact of the use of vague prior distributions in MCMC using WinBUGS. Statistics in Medicine 2005; 24:2401-2428.

Taub NA, Morgan Z, Brugha TS, Lambert PC, Bebbington PE, Jenkins R, Kessler RC, Zaslavsky AM, Hotz T. Recalibration methods to enhance information on prevalence rates from large mental health surveys. International Journal of Methods in Psychiatric Research 2005; 14: 3-13.

Waugh, J., Bell, SC., Kilby M., Lambert, P.C., Shennan, A. Halligan, A.W.F. Urine protein estimation in pregnancy: Which thresholds and laboratory assay best predicts clinical outcome?. Hypertension in Pregnancy 2005; 24:291-302.

Sutton, A.J., Cooper, N.J., Abrams, K.R., Lambert, P.C., Jones, D.R. A Bayesian approach to evaluating net clinical benefit allowed for parameter uncertainty. Journal of Clinical Epidemiology 2005; 58:26-40


Lambert, P.C., Burton, P.R., Abrams, K.R., Brooke, A.M. The Analysis of Peak Expiratory Flow Data Using a Three Level Hierarchical Model. Statistics in Medicine 2004; 23:3821-3839.

Smith, L.K., Lambert,P.C., Botha, J.L. Providing more up-to-date estimates of patient survival: modelling the effects of covariates. Journal of Clinical Epidemiology 2004;57:14-20

Riley, R.D., Sutton, A.J., Abrams, K.R., Lambert, P.C. Sensitivity analyses in meta-analysis of partially and completely unavailable multiple outcomes. Journal of Clinical Epidemiology 2004; 57:911-924

Sweeting, M.J., Sutton, A.J., Lambert, P.C. What to add to nothing? Use and avoidance of continuity corrections in meta-analysis of rare events. Statistics in Medicine 2004; 23:1351-1375.

Riley, R.D., Heney, D., Jones, D.R., Sutton, A.J., Lambert, P.C., Abrams, K.R., Young, B., Wailoo, A.J., Burchill, S.A. A Systematic Review Of Molecular And Biological Tumour Markers In Neuroblastoma. Clinical Cancer Research 2004: 10:4-12


Baker, R., Falconer-Smith, J., Lambert, P.C. A randomized controlled trial of the effectiveness of feedback in improving test ordering in general practice. Scandinavian Journal of Primary Health Care: 21:219-223; 2003.

Oommen,A., Lambert,P.C.,Grigg,J. Efficacy of a short course of oral prednisolone for acute preschool viral-wheeze: a double-blind randomised placebo-controlled trial with stratification for systemic eosinophil priming. The Lancet: 362:1433-1438; 2003

McKean, M.C., Hewitt, C., Lambert, P.C., Myint, S., Silverman, M. An adult model of exclusive viral wheeze: inflammation in the upper and lower respiratory tracts. Clinical and Experimental Allergy 2003;33:912-920

Riley, R.D., Abrams, K.R., Sutton, A.J., Lambert, P.C., Jones, D.R., Heney, D., Burchill, S.A.Reporting of prognostic markers and evidence-based practice: current problems and development of guidelines for the future British Journal of Cancer 2003:88:1191-1198

Smith, L.K., Lambert,P.C., Jones, D.R. Up-to-date estimates of long term cancer survival in England and Wales. _British Journal of Cancer_2003;89:74-76

Riley, R.D., Burchill, S.A., Abrams, K.R., Heney, D., Sutton, A.J., Jones, D.R., Lambert, P.C., Young, B., Wailoo, A.J., Lewis, I.J. A Systematic Review Of Molecular And Biological Markers In Tumours Of The Ewing’s Sarcoma Family. European Journal of Cancer 2003;39:19-30

Cooper, N.J., Abrams,K.R., Sutton, A.J., Turner,D., Lambert, P.C. Use of Bayesian methods for Markov modelling in cost-effectiveness analysis: An application to taxane use in advanced breast cancer. Journal of the Royal Statistical Society Series A 2003;389-405.

Waugh, J.,Bel,S.C., Kilby,M.D., Lambert,P.C., Blackwell,C.N., Shennan,A., Halligan,A. Urinary microalbumin/creatinine ratios: reference range in uncomplicated pregnancy. Clinical Science 2003;104:103-107

Hsu, R.T., Lambert, P.C., Dixon-Woods, M., Kurinczuk, J.J. Effect of NHS walk-in centre on local primary healthcare services: before and after observation study. BMJ 2003;326:530-532

Waugh, J.,Kilby, M., Lambert, P.C., Bell, S.C., Blackwell, C.N., Shennan, A., Halligan, A. Validation of the DCA 2000 Microalbumin:Creatinine ration urinanalyzer for its use in pregnancy and preeclampsia. Hypertension in Pregnancy 2003;22:77-92

Baker, R., Fraser, R.C., Stone, M., Lambert, P.C., Stevenson K., Shiels C. Randomised controlled trial of the impact of guidelines, prioritised review criteria and feedback on implementation of recommendations for angina and asthma. British Journal of General Practice 2003;53:284-291

Riley, R.D., Burchill, S.A., Abrams, K.R., Heney, Lambert, P.C., D., Jones, D.R., Sutton, A.J., Young, B., Wailoo, A.J., Lewis, I.J. Systematic review and evaluation of the use of tumour markers in paediatric oncology: Ewing’s sarcoma and neuroblastoma. Health Technology Assessment 2003;7(5):1-1-62


Sutton, A.J., Cooper, N.J., Lambert, P.C., Jones, D.R., Abrams, K.R., Sweeting, M.J. Meta-analysis of rare and adverse event data. Expert Review of Pharmacoeconomics & Outcomes Research 2002;2:367-379

Young, B., Fitch, G.E., Dixon-Woods, M., Lambert, P.C., Brooke, A.M. Parents’ accounts of wheeze and asthma related symptoms: a qualitative study. Archives of Disease in Childhood 2002;87:131-134

Lambert, P.C., Sutton, A.J., Abrams, K.R., Jones, D.R. A comparison of summary patient level covariates in meta-regression with individual patient data meta-analyses. Journal of Clinical Epidemiology 2002;55:86-94


Lambert P.C., Abrams KR, Jones DR, Halligan AWF, Shennan AH. Analysis of ambulatory blood pressure monitor data using a hierarchical model incorporating restricted cubic splines and heterogenious within-subject variances. Statistics in Medicine 2001;20:3789-3805

Mckean MC, Leech M, Lambert PC, Hewitt C, Myint S, Silverman M. A model of viral wheeze in nonasthmatic adults: symptoms and physiology. Eur Respir J 2001;18:23-32.

Waugh J., Bell S.C., Kilby M., Lambert P.C., Shennan A., Halligan A. Effect of concentration and biochemical assay on the accuracy of urine dipsticks in hypertensive pregnancies. Hypertension in Pregnancy 2001;20:205-217


Waugh J, Perry IJ, Halligan AW, De Swiet M, Lambert PC, Penny JA, Taylor DJ, Jones DR, Shennan A. Birth weight and 24-hour ambulatory blood pressure in nonproteinuric hypertensive pregnancy. Am J Obstet Gynecol 2000;183:633-7.

Abrams KR, Lambert PC, Sansó B, Shaw C and Marteau TM. Meta-analysis of heterogeneously reported study results - A Bayesian approach. In Meta-Analysis in medicine and health policy. p29-64. Ed Berry DA and Stangl DK. Marcel Dekker, NY. 2000.

Sutton AJ, Lambert PC, Hellmich MAG, Abrams KR and Jones DR. Meta-analysis in practice: A critical review of available software. In Meta-Analysis in medicine and health policy. P359-390. Ed Berry DA and Stangl DK. Marcel Dekker, NY. 2000


Bell SC, Halligan AWF, Martin A, Ashmore J, Shennan AH, Lambert PC, Taylor DJ. The role of observer error in antenatal dipstick proteinuria analysis. British Journal of Obstetrics and Gynaecology 1999;106:1177-80

Williams N, Jackson D, Lambert PC, Johnstone JM. Incidence of non-specific abdominal pain in children during school term: population survey based on discharge diagnoses. BMJ 1999;318:1455


Penny JA, Halligan AWF, Shennan AH, Lambert PC, Jones DR, Deswiet M, Taylor DJ. Automated, ambulatory, or conventional blood pressure measurement in pregnancy: Which is the better predictor of severe hypertension? American Journal of Obstetrics and Gynaecology 1998;178:521-6

Brooke AM, Lambert PC, Burton PR, Clarke C, Luyt DK, Simpson H. Recurrent cough: natural history and significance in infancy and early childhood. Pediatr Pulmonol 1998;26:256-61

Hellmich M., Abrams K.R., Jones D.R., Lambert P.C. A Bayesian approach to a general regression model for ROC curves. Medical Decision Making 1998;18:436-443


Halligan, AWF., Shennan, A, Lambert, PC, Bell, SC, Taylor, DJ, and De Swiet, M. Automated blood pressure measurement as a predictor of proteinuric pre-eclampsia. British Journal of Obstetrics and Gynaecology 1997;104:559-562


Halligan A, Shennan A, Lambert PC, DeSwiet M, Taylor DJ. Diurnal blood-pressure difference in the assessment of preeclampsia. Obstetrics and Gynecology 1996;87:205-8

Brooke AM, Lambert PC, Burton PR, Clarke C, Luyt DK, Simpson H. Night cough in a population-based sample of children - characteristics, relation to symptoms and associations with measures of asthma severity. European Respiratory Journal 1996;9:65-71

Peek M, Shennan A, Halligan A, Lambert PC, Taylor DJ, DeSwiet M. Hypertension in pregnancy - which method of blood-pressure measurement is most predictive of outcome. Obstetrics and Gynecology 1996;88:1030-3

Abrams KR,.Lambert PC. In discussion of Goldstein H. and Spiegelhalter D.J., League tables and their limitations - statistical issues in comparisons of institutional performance. Journal Of The Royal Statistical Society Series A-Statistics In Society 1996;159:409-43

Halligan A, Lambert PC, O’Brien E, Shennan A. Characteristics of a reversed circadian blood-pressure rhythm in pregnant-women with hypertension. Journal Of Human Hypertension 1996;10:135


Luyt DK, Brooke AM, Lambert PC, Burton P, Simpson H. Wheeze in preschool-children - who is followed-up, who is treated and who is hospitalized. European Respiratory Journal 1995;8:1736-41

Brooke AM, Lambert PC, Burton PR, Clarke C, Luyt DK, Simpson H. The natural-history of respiratory symptoms in preschool-children. American Journal of Respiratory And Critical Care Medicine 1995;152:1872-8

Esmail A, Lambert PC, Jones DR, Mitchell EA. Prevalence of risk-factors for sudden-infant-death-syndrome in south east England before the 1991 national back to sleep health- education campaign. Journal Of Public Health Medicine 1995;17:282-9

Lambert PC,.Abrams KR. Meta-analysis using multilevel models. Multilevel Modelling Newsletter 1995;7:17-9