Insights into tuberculosis: A survival analysis of time to recurrence in Portugal, between 2002 and 2009.

[1]  Jae Seung Lee,et al.  Risk factors for 1-year relapse of pulmonary tuberculosis treated with a 6-month daily regimen. , 2014, Respiratory medicine.

[2]  L. Frank,et al.  Predictive mean matching imputation of semicontinuous variables , 2014 .

[3]  J. Carpenter,et al.  Practice of Epidemiology Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study , 2014 .

[4]  S. Lipsitz,et al.  Comparative methods for handling missing data in large databases. , 2013, Journal of vascular surgery.

[5]  J. Miro,et al.  Tuberculosis Recurrence after Completion Treatment in a European City: Reinfection or Relapse? , 2013, PloS one.

[6]  Paul T. von Hippel,et al.  Should a Normal Imputation Model be Modified to Impute Skewed Variables , 2013, 1707.05360.

[7]  A. Harries,et al.  High Diabetes Prevalence among Tuberculosis Cases in Kerala, India , 2012, PloS one.

[8]  J. H. Baron Evolution of clinical research: A history before and beyond James Lind , 2012, Perspectives in clinical research.

[9]  Chung-Min Liao,et al.  A Probabilistic Transmission and Population Dynamic Model to Assess Tuberculosis Infection Risk , 2012, Risk analysis : an official publication of the Society for Risk Analysis.

[10]  H. D. de Vet,et al.  Missing data and imputation: a practical illustration in a prognostic study on low back pain. , 2012, Journal of manipulative and physiological therapeutics.

[11]  C. Garzelli,et al.  Molecular epidemiological approaches to study the epidemiology of tuberculosis in low-incidence settings receiving immigrants. , 2012, Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases.

[12]  M. Quail,et al.  The Genome of Mycobacterium Africanum West African 2 Reveals a Lineage-Specific Locus and Genome Erosion Common to the M. tuberculosis Complex , 2012, PLoS neglected tropical diseases.

[13]  Stef van Buuren,et al.  MICE: Multivariate Imputation by Chained Equations in R , 2011 .

[14]  Gary King,et al.  Amelia II: A Program for Missing Data , 2011 .

[15]  J. Kammerer,et al.  Estimating the Burden of Tuberculosis among Foreign-Born Persons Acquired Prior to Entering the U.S., 2005–2009 , 2011, PloS one.

[16]  K. Deriemer,et al.  When Tuberculosis Comes Back: Who Develops Recurrent Tuberculosis in California? , 2011, PloS one.

[17]  A. Harries,et al.  The impact of diabetes on tuberculosis treatment outcomes: A systematic review , 2011, BMC medicine.

[18]  Peter Bühlmann,et al.  MissForest - non-parametric missing value imputation for mixed-type data , 2011, Bioinform..

[19]  Patrick Royston,et al.  Multiple imputation using chained equations: Issues and guidance for practice , 2011, Statistics in medicine.

[20]  Douglas G Altman,et al.  Comparison of imputation methods for handling missing covariate data when fitting a Cox proportional hazards model: a resampling study , 2010, BMC medical research methodology.

[21]  Brian G. Williams,et al.  Tuberculosis Incidence in Prisons: A Systematic Review , 2010, PLoS medicine.

[22]  J. Boavida,et al.  First diabetes prevalence study in Portugal: PREVADIAB study , 2010, Diabetic medicine : a journal of the British Diabetic Association.

[23]  P. Van de Perre,et al.  Pulmonary tuberculosis due to Mycobacterium microti: a study of six recent cases in France. , 2010, Journal of medical microbiology.

[24]  G. King,et al.  What to Do about Missing Values in Time‐Series Cross‐Section Data , 2010 .

[25]  R. Chaisson,et al.  Recurrent tuberculosis: relapse, reinfection, and HIV. , 2010, The Journal of infectious diseases.

[26]  M. Coleman,et al.  Modelling relative survival in the presence of incomplete data: a tutorial. , 2010, International journal of epidemiology.

[27]  Craig K. Enders,et al.  An introduction to modern missing data analyses. , 2010, Journal of school psychology.

[28]  D. Mitchison,et al.  Timing of relapse in short-course chemotherapy trials for tuberculosis. , 2010, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[29]  Paul T. von Hippel,et al.  HOW TO IMPUTE INTERACTIONS, SQUARES, AND OTHER TRANSFORMED VARIABLES , 2009 .

[30]  M. Kenward,et al.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls , 2009, BMJ : British Medical Journal.

[31]  C. Sreeramareddy,et al.  Time delays in diagnosis of pulmonary tuberculosis: a systematic review of literature , 2009, BMC infectious diseases.

[32]  C. Dye,et al.  Drivers of tuberculosis epidemics: the role of risk factors and social determinants. , 2009, Social science & medicine.

[33]  R. Collier Legumes, lemons and streptomycin: A short history of the clinical trial , 2009, Canadian Medical Association Journal.

[34]  Todd E. Bodner,et al.  What Improves with Increased Missing Data Imputations? , 2008 .

[35]  Falk Hildebrand,et al.  Origin, Spread and Demography of the Mycobacterium tuberculosis Complex , 2008, PLoS pathogens.

[36]  C. Dye,et al.  Alcohol use as a risk factor for tuberculosis – a systematic review , 2008, BMC public health.

[37]  M. Bates,et al.  Comparison of pulmonary and extrapulmonary tuberculosis in Nepal- a hospital-based retrospective study , 2008, BMC infectious diseases.

[38]  G. Bjune,et al.  A systematic review of delay in the diagnosis and treatment of tuberculosis , 2008, BMC public health.

[39]  J. Golub,et al.  Recurrent tuberculosis and its risk factors: adequately treated patients are still at high risk. , 2007, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.

[40]  J. Hippisley-Cox,et al.  Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study , 2007, BMJ : British Medical Journal.

[41]  J. Graham,et al.  How Many Imputations are Really Needed? Some Practical Clarifications of Multiple Imputation Theory , 2007, Prevention Science.

[42]  I. Buchan,et al.  Prioritising between direct observation of therapy and case-finding interventions for tuberculosis: use of population impact measures , 2006, BMC Medicine.

[43]  Q. Gao,et al.  Recurrent Tuberculosis and Exogenous Reinfection, Shanghai, China , 2006, Emerging infectious diseases.

[44]  Theo Stijnen,et al.  Using the outcome for imputation of missing predictor values was preferred. , 2006, Journal of clinical epidemiology.

[45]  T. Stijnen,et al.  Review: a gentle introduction to imputation of missing values. , 2006, Journal of clinical epidemiology.

[46]  A Rogier T Donders,et al.  Imputation of missing values is superior to complete case analysis and the missing-indicator method in multivariable diagnostic research: a clinical example. , 2006, Journal of clinical epidemiology.

[47]  M. Barreto,et al.  BCG vaccine: efficacy and indications for vaccination and revaccination. , 2006, Jornal de pediatria.

[48]  K. Dheda,et al.  Smoking and tuberculosis: the epidemiological association and immunopathogenesis. , 2006, Transactions of the Royal Society of Tropical Medicine and Hygiene.

[49]  C. Dye Global epidemiology of tuberculosis , 2006, The Lancet.

[50]  Ewout W Steyerberg,et al.  Survival estimates of a prognostic classification depended more on year of treatment than on imputation of missing values. , 2006, Journal of clinical epidemiology.

[51]  P. Lobue,et al.  The importance of Mycobacterium bovis as a zoonosis. , 2006, Veterinary microbiology.

[52]  J. Deeks,et al.  Effect of BCG vaccination on risk of Mycobacterium tuberculosis infection in children with household tuberculosis contact: a prospective community-based study , 2005, The Lancet.

[53]  Dulaney A. Wilson,et al.  Why pulmonary tuberculosis recurs: a population-based epidemiological study. , 2005, Annals of epidemiology.

[54]  Robert J Glynn,et al.  Bias due to missing exposure data using complete‐case analysis in the proportional hazards regression model , 2003, Statistics in medicine.

[55]  S. Niemann,et al.  Mycobacterium africanum Subtype II Is Associated with Two Distinct Genotypes and Is a Major Cause of Human Tuberculosis in Kampala, Uganda , 2002, Journal of Clinical Microbiology.

[56]  M. Schemper,et al.  A solution to the problem of separation in logistic regression , 2002, Statistics in medicine.

[57]  C. Buchrieser,et al.  A new evolutionary scenario for the Mycobacterium tuberculosis complex , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[58]  P. Sonnenberg,et al.  HIV-1 and recurrence, relapse, and reinfection of tuberculosis after cure: a cohort study in South African mineworkers , 2001, The Lancet.

[59]  J Li,et al.  Relapse in persons treated for drug-susceptible tuberculosis in a population with high coinfection with human immunodeficiency virus in New York City. , 2001, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[60]  M Schemper,et al.  A Solution to the Problem of Monotone Likelihood in Cox Regression , 2001, Biometrics.

[61]  R. Auckenthaler,et al.  Mycobacterium canettii, the smooth variant of M. tuberculosis, isolated from a Swiss patient exposed in Africa. , 1998, Emerging infectious diseases.

[62]  D. van Soolingen,et al.  Mycobacterium microti: More Widespread than Previously Thought , 1998, Journal of Clinical Microbiology.

[63]  P. Grambsch,et al.  Proportional hazards tests and diagnostics based on weighted residuals , 1994 .

[64]  R. Little Missing-Data Adjustments in Large Surveys , 1988 .

[65]  David A. Schoenfeld,et al.  Partial residuals for the proportional hazards regression model , 1982 .

[66]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[67]  D. Rubin INFERENCE AND MISSING DATA , 1975 .

[68]  N. Breslow Covariance analysis of censored survival data. , 1974, Biometrics.

[69]  J. Peto,et al.  Asymptotically Efficient Rank Invariant Test Procedures , 1972 .

[70]  N. Mantel Evaluation of survival data and two new rank order statistics arising in its consideration. , 1966, Cancer chemotherapy reports.

[71]  W. Haenszel,et al.  Statistical aspects of the analysis of data from retrospective studies of disease. , 1959, Journal of the National Cancer Institute.

[72]  E. Kaplan,et al.  Nonparametric Estimation from Incomplete Observations , 1958 .

[73]  Z LEVNTAL,et al.  [History of tuberculosis]. , 1957, Medicinski glasnik.

[74]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[75]  J. S. Moreira,et al.  Pulmonary tuberculosis treatment regimen recommended by the Brazilian National Ministry of Health: predictors of treatment noncompliance in the city of Porto Alegre, Brazil. , 2011, Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia.

[76]  A. Konstantinos Diagnostic tests Testing for tuberculosis , 2010 .

[77]  Noel A. Card,et al.  Best practices for missing data management in counseling psychology. , 2010, Journal of counseling psychology.

[78]  R. Garfein,et al.  Tuberculosis and illicit drug use: review and update. , 2009, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[79]  R. M. C. Abrahão,et al.  Tuberculosis infection and the length of stay of County Jails prisoners in the western sector of the city of São Paulo , 2009 .

[80]  M. L. Caramori,et al.  Risk factors for recurrence of tuberculosis. , 2007, Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia.

[81]  Andy Liaw,et al.  Classification and Regression by randomForest , 2007 .

[82]  J. Stockman Effect of BCG Vaccination on Childhood Tuberculous Meningitis and Miliary Tuberculosis Worldwide: A Meta-analysis and Assessment of Cost-effectiveness , 2007 .

[83]  Douglas G Altman,et al.  Developing a prognostic model in the presence of missing data: an ovarian cancer case study. , 2003, Journal of clinical epidemiology.

[84]  Orton,et al.  Multiple Imputation in Practice , 2001 .

[85]  Frank Dellaert,et al.  The Expectation Maximization Algorithm , 2002 .

[86]  R. Little A Test of Missing Completely at Random for Multivariate Data with Missing Values , 1988 .

[87]  Elizabeth A Stuart,et al.  Multiple imputation with large data sets: a case study of the Children's Mental Health Initiative. , 2009, American journal of epidemiology.

[88]  D.,et al.  Regression Models and Life-Tables , 2022 .