An empirical Bayes method for studying variation in knee replacement rates.

Abstract:

:Knee replacement is the most commonly used surgical treatment for knee arthritis. It has been reported that knee replacement rates vary across both regions and counties. This paper used data from Medicare patients to develop explanations for the variation. One problem with our data is that we do not have patient level information for Medicare patients who did not have a knee replacement during the study period. Therefore, even though our data have a natural hierarchical structure (region, county, patient), we cannot use a typical hierarchical model for the analysis due to missing patient level information. In this paper, we used a two-stage approach to analyse our data. In the first stage, we used an extra Poisson regression to model within-region variation of knee replacement rates while adjusting for the type of patient demographic information we had, and in the second stage, we used an empirical Bayes method to model between-region variation of knee replacement rates.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Zhou XH,Katz BP,Holleman E,Melfi CA,Dittus R

doi

10.1002/(SICI)1097-0258(19960915)15:17<1875::AID-S

subject

Has Abstract

pub_date

1996-09-15 00:00:00

pages

1875-84

issue

17-18

eissn

0277-6715

issn

1097-0258

pii

10.1002/(SICI)1097-0258(19960915)15:17<1875::AID-S

journal_volume

15

pub_type

杂志文章
  • Confidence intervals for the standardized effect arising in the comparison of two normal populations.

    abstract::Confidence intervals for a standardized effect are derived after stabilizing the variance of the Welch t-statistic. Simulation studies demonstrate the viability of the resulting intervals for a wide range of parameter values and sample sizes as small as five. The methodology is extended to the combination of results f...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2751

    authors: Kulinskaya E,Staudte RG

    更新日期:2007-06-30 00:00:00

  • Estimating probit models with self-selected treatments.

    abstract::Outcomes research often requires estimating the impact of a binary treatment on a binary outcome in a non-randomized setting, such as the effect of taking a drug on mortality. The data often come from self-selected samples, leading to a spurious correlation between the treatment and outcome when standard binary depend...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2226

    authors: Bhattacharya J,Goldman D,McCaffrey D

    更新日期:2006-02-15 00:00:00

  • Hierarchical multiple informants models: examining food environment contributions to the childhood obesity epidemic.

    abstract::Methods for multiple informants help to estimate the marginal effect of each multiple source predictor and formally compare the strength of their association with an outcome. We extend multiple informant methods to the case of hierarchical data structures to account for within cluster correlation. We apply the propose...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5967

    authors: Baek J,Sánchez BN,Sanchez-Vaznaugh EV

    更新日期:2014-02-20 00:00:00

  • Modelling covariate adjusted mortality relative to a standard population.

    abstract::A study of long term survival of 1487 patients given an allogeneic bone marrow transplant for acute myelogenous leukaemia and 729 patients given a transplant for severe aplastic anaemia was conducted by the International Bone Marrow Transplant Registry. One aim of this study is to determine if the mortality rates of t...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(19990630)18:12<1529::aid-s

    authors: Andersen PK,Horowitz MM,Klein JP,Socie G,Stone JV,Zhang MJ

    更新日期:1999-06-30 00:00:00

  • Improving propensity score weighting using machine learning.

    abstract::Machine learning techniques such as classification and regression trees (CART) have been suggested as promising alternatives to logistic regression for the estimation of propensity scores. The authors examined the performance of various CART-based propensity score models using simulated data. Hypothetical studies of v...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3782

    authors: Lee BK,Lessler J,Stuart EA

    更新日期:2010-02-10 00:00:00

  • Optimal seamless phase 2/3 oncology trial designs based on Probability of Success (PoS).

    abstract::In recent years, there has been an increasing trend in conducting seamless phase 2/3 clinical trials for drug development in the pharmaceutical industry due to the visible advantages compared with traditional approaches for separate phase 2 and 3 development. Innovative study designs have been proposed for seamless ph...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7910

    authors: Teng Z,Liang L,Liu G,Liu Y

    更新日期:2018-12-10 00:00:00

  • Correcting covariate-dependent measurement error with non-zero mean.

    abstract::There are many settings in which the distribution of error in a mismeasured covariate varies with the value of another covariate. Take, for example, the case of HIV phylogenetic cluster size, large values of which are an indication of rapid HIV transmission. Researchers wish to find behavioral correlates of HIV phylog...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7289

    authors: Parveen N,Moodie E,Brenner B

    更新日期:2017-07-30 00:00:00

  • Estimating the mean hazard ratio parameters for clustered survival data with random clusters.

    abstract::We consider a latent variable hazard model for clustered survival data where clusters are a random sample from an underlying population. We allow interactions between the random cluster effect and covariates. We use a maximum pseudo-likelihood estimator to estimate the mean hazard ratio parameters. We propose a bootst...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(19970915)16:17<2009::aid-s

    authors: Cai J,Zhou H,Davis CE

    更新日期:1997-09-15 00:00:00

  • Level-adjusted funnel plots based on predicted marginal expectations: an application to prophylactic antibiotics in gallstone surgery.

    abstract::Funnel plots are widely used to visualize grouped data, for example, in institutional comparison. This paper extends the concept to a multi-level setting, displaying one level at a time, adjusted for the other levels, as well as for covariates at all levels. These level-adjusted funnel plots are based on a Markov chai...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5677

    authors: Lindhagen L,Darkahi B,Sandblom G,Berglund L

    更新日期:2014-09-20 00:00:00

  • Comparison between splines and fractional polynomials for multivariable model building with continuous covariates: a simulation study with continuous response.

    abstract::In observational studies, many continuous or categorical covariates may be related to an outcome. Various spline-based procedures or the multivariable fractional polynomial (MFP) procedure can be used to identify important variables and functional forms for continuous covariates. This is the main aim of an explanatory...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.5639

    authors: Binder H,Sauerbrei W,Royston P

    更新日期:2013-06-15 00:00:00

  • A multivariate Bayesian model for embryonic growth.

    abstract::Most longitudinal growth curve models evaluate the evolution of each of the anthropometric measurements separately. When applied to a 'reference population', this exercise leads to univariate reference curves against which new individuals can be evaluated. However, growth should be evaluated in totality, that is, by e...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6411

    authors: Willemsen SP,Eilers PH,Steegers-Theunissen RP,Lesaffre E

    更新日期:2015-04-15 00:00:00

  • An alternative index for assessing profile similarity in bioequivalence trials.

    abstract::In a typical bioequivalence trial, summary measures of the plasma concentration versus time profile are used to compare two formulations of a drug product. Commonly used measures include area under the curve (AUC), maximum plasma concentration (C(max)) and time to maximum concentration (T(max)). Equivalence of these s...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/1097-0258(20001030)19:20<2855::aid-sim550>

    authors: Mauger DT,Chinchilli VM

    更新日期:2000-10-30 00:00:00

  • Statistical interim monitoring of the Cardiac Arrhythmia Suppression Trial.

    abstract::The Cardiac Arrythmia Suppression Trial was stopped much earlier than planned. Statistical considerations played a very important role in the decision. Flexible group sequential testing was developed for the trial by implementing a Lan and DeMets procedure with use of the permutation test. We compute P-values from the...

    journal_title:Statistics in medicine

    pub_type: 临床试验,杂志文章,多中心研究,随机对照试验

    doi:10.1002/sim.4780090915

    authors: Pawitan Y,Hallstrom A

    更新日期:1990-09-01 00:00:00

  • Multilocus linkage disequilibrium mapping of epistatic quantitative trait loci that regulate HIV dynamics: a simulation approach.

    abstract::The time-dependent change of HIV particle load, i.e. HIV dynamics, is likely to be controlled by a multitude of quantitative trait loci (QTL) that interact with each other as well as with various developmental and environmental factors in a coordinated manner. In this article, we have derived a new statistical model f...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.2489

    authors: Wu S,Yang J,Wu R

    更新日期:2006-11-30 00:00:00

  • Covariate imbalance and random allocation in clinical trials.

    abstract::A model is developed to estimate the effect of covariate imbalance on the size of a test of treatment efficacy in randomized clinical trials comparing two treatments when dispersion parameters are known. It is concluded that tests of homogeneity on the covariates should not be performed, that covariate imbalance is ju...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780080410

    authors: Senn SJ

    更新日期:1989-04-01 00:00:00

  • Stochastic approximation EM for large-scale exploratory IRT factor analysis.

    abstract::A stochastic approximation EM algorithm (SAEM) is described for exploratory factor analysis of dichotomous or ordinal variables. The factor structure is obtained from sufficient statistics that are updated during iterations with the Robbins-Monro procedure. Two large-scale simulations are reported that compare accurac...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8217

    authors: Camilli G,Geis E

    更新日期:2019-09-20 00:00:00

  • Study of coverage of confidence intervals for the standardized mortality ratio in studies with missing death certificates.

    abstract::This paper assesses the coverage probability of commonly used confidence intervals for the standardized mortality ratio (SMR) when death certificates are missing. It also proposes alternative confidence interval approaches with coverage probabilities close to .95. In epidemiology, the SMR is an important measure of ri...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7432

    authors: Timkova J,Kotik L,Tomasek L

    更新日期:2017-11-30 00:00:00

  • Personalized dose selection in radiation therapy using statistical models for toxicity and efficacy with dose and biomarkers as covariates.

    abstract::Selection of dose for cancer patients treated with radiation therapy (RT) must balance the increased efficacy with the increased toxicity associated with higher dose. Historically, a single dose has been selected for a population of patients (e.g., all stage III non-small cell lung cancer). However, the availability o...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.6285

    authors: Schipper MJ,Taylor JM,TenHaken R,Matuzak MM,Kong FM,Lawrence TS

    更新日期:2014-12-30 00:00:00

  • A copula-based mixed Poisson model for bivariate recurrent events under event-dependent censoring.

    abstract::In many chronic disease processes subjects are at risk of two or more types of events. We describe a bivariate mixed Poisson model in which a copula function is used to model the association between two gamma distributed random effects. The resulting model is a bivariate negative binomial process in which each type of...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3830

    authors: Cook RJ,Lawless JF,Lee KA

    更新日期:2010-03-15 00:00:00

  • Detecting associations between intact connectomes and clinical covariates using recursive partitioning object-oriented data analysis.

    abstract::Many neuroscientists are interested in how connectomes (graphical representations of functional connectivity between areas of the brain) change in relation to covariates. In statistics, changes like this are analyzed using regression, where the outcomes or dependent variables are regressed onto the covariates. However...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.8374

    authors: Yang D,Deych E,Shands B,Campbell MC,Perlmutter JS,Petersen S,Schlaggar BL,Shannon W

    更新日期:2019-12-20 00:00:00

  • Using mark-recapture methodology to estimate the size of a population at risk for sexually transmitted diseases.

    abstract::To study the spread of sexually transmitted diseases (STDs) using social/sexual mixing models, one must have quantitative information about sexual mixing. An unavoidable complication in gathering such information by survey is that members of the surveyed population will almost certainly have sexual contacts outside th...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780111202

    authors: Rubin G,Umbach D,Shyu SF,Castillo-Chavez C

    更新日期:1992-09-15 00:00:00

  • Alpha calculus in clinical trials: considerations and commentary for the new millennium.

    abstract::Regardless of whether a statistician believes in letting a data set speak for itself through nominal p-values or believes in strict alpha conservation, the interpretation of experiments which are negative for the primary endpoint but positive for secondary endpoints is the source of some angst. The purpose of this pap...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(sici)1097-0258(20000330)19:6<767::aid-sim

    authors: Moyé LA

    更新日期:2000-03-30 00:00:00

  • Model-based multiplicity estimation of population size.

    abstract::A survey is conducted at w of K selection units or lists, e.g. health care institutions or weeks in a year, to estimate N, the total number of individuals with particular characteristics. Our estimator utilizes two items determined for each survey participant: the number, u, among the w lists in S and the number, j, a...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.3614

    authors: Laska EM,Meisner M,Wanderling J

    更新日期:2009-07-30 00:00:00

  • Design and analysis of non-inferiority mortality trials in oncology.

    abstract::The recent revision of the Declaration of Helsinki and the existence of many new therapies that affect survival or serious morbidity, and that therefore cannot be denied patients, have generated increased interest in active-control trials, particularly those intended to show equivalence or non-inferiority to the activ...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1400

    authors: Rothmann M,Li N,Chen G,Chi GY,Temple R,Tsou HH

    更新日期:2003-01-30 00:00:00

  • On the propensity score weighting analysis with survival outcome: Estimands, estimation, and inference.

    abstract::Propensity score analysis is widely used in observational studies to adjust for confounding and estimate the causal effect of a treatment on the outcome. When the outcome is survival time, there are special considerations on the definition of the causal estimand, point, and variance estimation that have not been thoro...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7839

    authors: Mao H,Li L,Yang W,Shen Y

    更新日期:2018-11-20 00:00:00

  • Parametric multistate survival models: Flexible modelling allowing transition-specific distributions with application to estimating clinically useful measures of effect differences.

    abstract::Multistate models are increasingly being used to model complex disease profiles. By modelling transitions between disease states, accounting for competing events at each transition, we can gain a much richer understanding of patient trajectories and how risk factors impact over the entire disease pathway. In this arti...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.7448

    authors: Crowther MJ,Lambert PC

    更新日期:2017-12-20 00:00:00

  • Cross calibration in longitudinal studies.

    abstract::In a long-running longitudinal study using complex machinery to obtain measurements, it is sometimes necessary to replace the machine. This can result in lack of continuity in the measurements that can overwhelm any treatment effect or time trend. We propose a Bayesian procedure implemented using Markov chain Monte Ca...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.1868

    authors: Ambrosius WT,Hui SL

    更新日期:2004-09-30 00:00:00

  • Some statistical issues in project prioritization in the pharmaceutical industry.

    abstract::Various aspects of portfolio management and project prioritization within the pharmaceutical industry are examined. It is shown that the cost and probability architecture of a project is a crucial aspect of its value. An appropriate simple tool for ranking projects is the Pearson index. Various difficulties are consid...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/(SICI)1097-0258(19961230)15:24<2689::AID-S

    authors: Senn S

    更新日期:1996-12-30 00:00:00

  • A standardization method to adjust for the effect of patient selection in phase II clinical trials.

    abstract::New combination regimens evaluated in phase II cancer clinical trials often show promising results compared to the standard therapy for a disease system. Selection of patients with a better prognosis can be a prominent factor for this optimism. For most disease systems, prognostic variables that are related to the out...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.706

    authors: Mazumdar M,Fazzari M,Panageas KS

    更新日期:2001-03-30 00:00:00

  • On the estimation of total variability in assay validation.

    abstract::In the pharmaceutical industry, an assay method is considered validated if the accuracy and precision for an assay meet some acceptable limits. This paper discusses the assessment of assay precision in terms of the estimation of total variability of an assay from a one-way random effects model which is often considere...

    journal_title:Statistics in medicine

    pub_type: 杂志文章

    doi:10.1002/sim.4780101006

    authors: Chow SC,Tse SK

    更新日期:1991-10-01 00:00:00