Propensity scores: from naive enthusiasm to intuitive understanding.

Abstract:

:Estimation of the effect of a binary exposure on an outcome in the presence of confounding is often carried out via outcome regression modelling. An alternative approach is to use propensity score methodology. The propensity score is the conditional probability of receiving the exposure given the observed covariates and can be used, under the assumption of no unmeasured confounders, to estimate the causal effect of the exposure. In this article, we provide a non-technical and intuitive discussion of propensity score methodology, motivating the use of the propensity score approach by analogy with randomised studies, and describe the four main ways in which this methodology can be implemented. We carefully describe the population parameters being estimated - an issue that is frequently overlooked in the medical literature. We illustrate these four methods using data from a study investigating the association between maternal choice to provide breast milk and the infant's subsequent neurodevelopment. We outline useful extensions of propensity score methodology and discuss directions for future research. Propensity score methods remain controversial and there is no consensus as to when, if ever, they should be used in place of traditional outcome regression models. We therefore end with a discussion of the relative advantages and disadvantages of each.

journal_name

Stat Methods Med Res

authors

Williamson E,Morley R,Lucas A,Carpenter J

doi

10.1177/0962280210394483

subject

Has Abstract

pub_date

2012-06-01 00:00:00

pages

273-93

issue

3

eissn

0962-2802

issn

1477-0334

pii

0962280210394483

journal_volume

21

pub_type

杂志文章
  • A generalization of functional clustering for discrete multivariate longitudinal data.

    abstract::This paper presents a new model-based generalized functional clustering method for discrete longitudinal data, such as multivariate binomial and Poisson distributed data. For this purpose, we propose a multivariate functional principal component analysis (MFPCA)-based clustering procedure for a latent multivariate Gau...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280220921912

    authors: Lim Y,Cheung YK,Oh HS

    更新日期:2020-11-01 00:00:00

  • Inferences about population means of health care costs.

    abstract::The analysis of health care costs is complicated by the skewed and heteroscedastic nature of their distribution with possibly additional zero values. Statistical methods that do not adjust for these features can lead to incorrect conclusions. This paper reviews recent developments in statistical methods for the analys...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章,评审

    doi:10.1191/0962280202sm290ra

    authors: Zhou XH

    更新日期:2002-08-01 00:00:00

  • Regression towards the mean, historically considered.

    abstract::The simple yet subtle concept of regression towards the mean is reviewed historically. Verbal, geometric, and mathematical expressions of the concept date to the discoverer of the concept, Francis Galton. That discovery and subsequent understanding (and misunderstanding) of the concept are surveyed. ...

    journal_title:Statistical methods in medical research

    pub_type: 传,历史文章,杂志文章,评审

    doi:10.1177/096228029700600202

    authors: Stigler SM

    更新日期:1997-06-01 00:00:00

  • Controlling for localised spatio-temporal autocorrelation in long-term air pollution and health studies.

    abstract::Estimating the long-term health impact of air pollution using an ecological spatio-temporal study design is a challenging task, due to the presence of residual spatio-temporal autocorrelation in the health counts after adjusting for the covariate effects. This autocorrelation is commonly modelled by a set of random ef...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280214527384

    authors: Lee D,Mitchell R

    更新日期:2014-12-01 00:00:00

  • Extending backcalculation to analyse BSE data.

    abstract::We review the origins of backcalculation (or back projection) methods developed for the analysis of AIDS (acquired immunodeficiency syndrome) incidence data. These techniques have been used extensively for >15 years to deconvolute clinical case incidence, given knowledge of the incubation period distribution, to obtai...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章,评审

    doi:10.1191/0962280203sm337ra

    authors: Donnelly CA,Ferguson NM,Ghani AC,Anderson RM

    更新日期:2003-06-01 00:00:00

  • A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohort.

    abstract::This article aims to develop a probability-based model involving the use of direct likelihood formulation and generalised linear modelling (GLM) approaches useful in estimating important disease parameters from longitudinal or repeated measurement data. The current application is based on infection with respiratory sy...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280210385749

    authors: Mwambi H,Ramroop S,White Lj,Okiro E,Nokes Dj,Shkedy Z,Molenberghs G

    更新日期:2011-10-01 00:00:00

  • A monotone data augmentation algorithm for longitudinal data analysis via multivariate skew-t, skew-normal or t distributions.

    abstract::The mixed effects model for repeated measures has been widely used for the analysis of longitudinal clinical data collected at a number of fixed time points. We propose a robust extension of the mixed effects model for repeated measures for skewed and heavy-tailed data on basis of the multivariate skew-t distribution,...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280219865579

    authors: Tang Y

    更新日期:2020-06-01 00:00:00

  • Modeling fecundity in the presence of a sterile fraction using a semi-parametric transformation model for grouped survival data.

    abstract::The analysis of fecundity data is challenging and requires consideration of both highly timed and interrelated biologic processes in the context of essential behaviors such as sexual intercourse during the fertile window. Understanding human fecundity is further complicated by presence of a sterile population, i.e. co...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280212438646

    authors: McLain AC,Sundaram R,Buck Louis GM

    更新日期:2016-02-01 00:00:00

  • Receiver operating characteristic curve estimation for time to event with semicompeting risks and interval censoring.

    abstract::Semicompeting risks and interval censoring are frequent in medical studies, for instance when a disease may be diagnosed only at times of visit and disease onset is in competition with death. To evaluate the ability of markers to predict disease onset in this context, estimators of discrimination measures must account...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280214531691

    authors: Jacqmin-Gadda H,Blanche P,Chary E,Touraine C,Dartigues JF

    更新日期:2016-12-01 00:00:00

  • Stochastic models of sequence evolution including insertion-deletion events.

    abstract::Comparison of sequences that have descended from a common ancestor based on an explicit stochastic model of substitutions, insertions and deletions has risen to prominence in the last decade. Making statements about the positions of insertions-deletions (abbr. indels) is central in sequence and genome analysis and is ...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280208099500

    authors: Miklós I,Novák A,Satija R,Lyngsø R,Hein J

    更新日期:2009-10-01 00:00:00

  • Semiparametric models for multilevel overdispersed count data with extra zeros.

    abstract::This study proposes semiparametric models for analysis of hierarchical count data containing excess zeros and overdispersion simultaneously. The methods discussed in this paper handle nonlinear covariate effects through flexible semiparametric multilevel regression techniques. This is performed by providing a comprehe...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280216657376

    authors: Mahmoodi M,Moghimbeigi A,Mohammad K,Faradmal J

    更新日期:2018-04-01 00:00:00

  • Bayesian modeling and prediction of accrual in multi-regional clinical trials.

    abstract::In multi-regional trials, the underlying overall and region-specific accrual rates often do not hold constant over time and different regions could have different start-up times, which combined with initial jump in accrual within each region often leads to a discontinuous overall accrual rate, and these issues associa...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280214557581

    authors: Deng Y,Zhang X,Long Q

    更新日期:2017-04-01 00:00:00

  • Efficient Monte Carlo evaluation of resampling-based hypothesis tests with applications to genetic epidemiology.

    abstract::Monte Carlo evaluation of resampling-based tests is often conducted in statistical analysis. However, this procedure is generally computationally intensive. The pooling resampling-based method has been developed to reduce the computational burden but the validity of the method has not been studied before. In this arti...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280216661876

    authors: Fung WK,Yu K,Yang Y,Zhou JY

    更新日期:2018-05-01 00:00:00

  • Bayesian nonparametric inference for the three-class Youden index and its associated optimal cutoff points.

    abstract::The three-class Youden index serves both as a measure of medical test accuracy and a criterion to choose the optimal pair of cutoff values for classifying subjects into three ordinal disease categories (e.g. no disease, mild disease, advanced disease). We present a Bayesian nonparametric approach for estimating the th...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280217742538

    authors: Carvalho VI,Branscum AJ

    更新日期:2018-03-01 00:00:00

  • On the power of the Cochran-Armitage test for trend in the presence of misclassification.

    abstract::The Cochran-Armitage (CA) test is commonly used in both epidemiology and genetics to test for linear trend in two-way tables with a binary outcome. There has been increasing interest in the power and size of the test and in determination of sample size, especially when there is potential misclassification in the 'expo...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280211406424

    authors: Buonaccorsi JP,Laake P,Veierød MB

    更新日期:2014-06-01 00:00:00

  • Efficient estimation of a linear transformation model for current status data via penalized splines.

    abstract::We propose a flexible and computationally efficient penalized estimation method for a semi-parametric linear transformation model with current status data. To facilitate model fitting, the unknown monotone function is approximated by monotone B-splines, and a computationally efficient hybrid algorithm involving the Fi...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280218820406

    authors: Lu M,Liu Y,Li CS

    更新日期:2020-01-01 00:00:00

  • Probability intervals of toxicity and efficacy design for dose-finding clinical trials in oncology.

    abstract::Immunotherapy, gene therapy or adoptive cell therapies, such as the chimeric antigen receptor+ T-cell therapies, have demonstrated promising therapeutic effects in oncology patients. We consider statistical designs for dose-finding adoptive cell therapy trials, in which the monotonic dose-response relationship assumed...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280220977009

    authors: Lin X,Ji Y

    更新日期:2020-12-16 00:00:00

  • Continuous(ly) missing outcome data in network meta-analysis: A one-stage pattern-mixture model approach.

    abstract::Appropriate handling of aggregate missing outcome data is necessary to minimise bias in the conclusions of systematic reviews. The two-stage pattern-mixture model has been already proposed to address aggregate missing continuous outcome data. While this approach is more proper compared with the exclusion of missing co...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280220983544

    authors: Spineli LM,Kalyvas C,Papadimitropoulou K

    更新日期:2021-01-06 00:00:00

  • Testing for association in case-control genome-wide association studies with shared controls.

    abstract::The statistical analysis of genome-wide association studies (GWASs) with multiple diseases and shared controls (SCs) is discussed. The usual method for analyzing data from these studies is to compare each individual disease with either the SCs or the pooled controls which include other diseases. We observed that apply...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280212474061

    authors: Chen Z,Huang H,Ng HK

    更新日期:2016-04-01 00:00:00

  • A unified approach for assessing heterogeneity in age-period-cohort model parameters using random effects.

    abstract::Age-period-cohort models are a popular tool for studying population-level rates; for example, trends in cancer incidence and mortality. Age-period-cohort models decompose observed trends into age effects that correlate with natural history, period effects that reveal factors impacting all ages simultaneously (e.g. inn...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280217713033

    authors: Chernyavskiy P,Little MP,Rosenberg PS

    更新日期:2019-01-01 00:00:00

  • Interpretation of mixed models and marginal models with cohort attrition due to death and drop-out.

    abstract::Mixed models estimated by maximum likelihood and marginal models estimated by generalized estimating equations are the standard methods for the analysis of longitudinal data. However, their use is highly debated when attrition may be due to death. While some authors consider that mixed model estimates are interpretabl...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280217723675

    authors: Rouanet A,Helmer C,Dartigues JF,Jacqmin-Gadda H

    更新日期:2019-02-01 00:00:00

  • Statistical methods in computational anatomy.

    abstract::This paper reviews recent developments by the Washington/Brown groups for the study of anatomical shape in the emerging new discipline of computational anatomy. Parametric representations of anatomical variation for computational anatomy are reviewed, restricted to the assumption of small deformations. The generation ...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章,评审

    doi:10.1177/096228029700600305

    authors: Miller M,Banerjee A,Christensen G,Joshi S,Khaneja N,Grenander U,Matejic L

    更新日期:1997-09-01 00:00:00

  • Unbiasedness and efficiency of non-parametric and UMVUE estimators of the probabilistic index and related statistics.

    abstract::In reliability theory, diagnostic accuracy, and clinical trials, the quantity P ( X > Y ) + ...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280220966629

    authors: Verbeeck J,Deltuvaite-Thomas V,Berckmoes B,Burzykowski T,Aerts M,Thas O,Buyse M,Molenberghs G

    更新日期:2020-12-01 00:00:00

  • Measurement error, time lag, unmeasured confounding: Considerations for longitudinal estimation of the effect of a mediator in randomised clinical trials.

    abstract::Clinical trials are expensive and time-consuming and so should also be used to study how treatments work, allowing for the evaluation of theoretical treatment models and refinement and improvement of treatments. These treatment processes can be studied using mediation analysis. Randomised treatment makes some of the a...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280216666111

    authors: Goldsmith KA,Chalder T,White PD,Sharpe M,Pickles A

    更新日期:2018-06-01 00:00:00

  • Modelling breast cancer tumour growth for a stable disease population.

    abstract::Statistical models of breast cancer tumour progression have been used to further our knowledge of the natural history of breast cancer, to evaluate mammography screening in terms of mortality, to estimate overdiagnosis, and to estimate the impact of lead-time bias when comparing survival times between screen detected ...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280217734583

    authors: Isheden G,Humphreys K

    更新日期:2019-03-01 00:00:00

  • The impact of covariance misspecification in group-based trajectory models for longitudinal data with non-stationary covariance structure.

    abstract::One purpose of a longitudinal study is to gain a better understanding of how an outcome of interest changes among a given population over time. In what follows, a trajectory will be taken to mean the series of measurements of the outcome variable for an individual. Group-based trajectory modelling methods seek to iden...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280215598806

    authors: Davies CE,Glonek GF,Giles LC

    更新日期:2017-08-01 00:00:00

  • An ad hoc method for dual adjusting for measurement errors and nonresponse bias for estimating prevalence in survey data: Application to Iranian mental health survey on any illicit drug use.

    abstract::Purpose The prevalence estimates of binary variables in sample surveys are often subject to two systematic errors: measurement error and nonresponse bias. A multiple-bias analysis is essential to adjust for both biases. Methods In this paper, we linked the latent class log-linear and proxy pattern-mixture models to ad...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280217690939

    authors: Khalagi K,Mansournia MA,Motevalian SA,Nourijelyani K,Rahimi-Movaghar A,Bakhtiyari M

    更新日期:2018-10-01 00:00:00

  • Underestimation of treatment effects in sequentially monitored clinical trials that did not stop early for benefit.

    abstract::In recent years, there has been a prominent discussion in the literature about the potential for overestimation of the treatment effect when a clinical trial stops at an interim analysis due to the experimental treatment showing a benefit over the control. However, there has been much less attention paid to the conver...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280218795320

    authors: Marschner IC,Schou IM

    更新日期:2019-10-01 00:00:00

  • Designs in partially controlled studies: messages from a review.

    abstract::The ability to evaluate effects of factors on outcomes is increasingly important for studies that control some but not all of the factors. Although important advances have been made in methods of analysis for such partially controlled studies, work on designs has been limited. To help understand why, we review the mai...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1191/0962280205sm405oa

    authors: Li F,Frangakis CE

    更新日期:2005-08-01 00:00:00

  • Everything all right in method comparison studies?

    abstract::Researchers and clinicians often need to know whether a new method of measurement is equivalent to an established one that is already in use. For this problem, the estimation of limits of agreement advocated by Bland and Altman is a widely used solution. However, this approach ignores two vital issues in method compar...

    journal_title:Statistical methods in medical research

    pub_type: 杂志文章

    doi:10.1177/0962280210379365

    authors: Alanen E

    更新日期:2012-08-01 00:00:00