Search Results - "WHITE, IAN"

Network Meta-analysis by White, Ian R.

“…Network meta-analysis is a popular way to combine results from several studies (usually randomized trials) comparing several treatments or interventions. It…”
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Using simulation studies to evaluate statistical methods by Morris, Tim P., White, Ian R., Crowther, Michael J.

“…Simulation studies are computer experiments that involve creating data by pseudo‐random sampling. A key strength of simulation studies is the ability to…”
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Optofluidic microsystems for chemical and biological analysis by Fan, Xudong, White, Ian M.

“…Optofluidics — the synergistic integration of photonics and microfluidics — is a new analytical field that provides a number of unique characteristics for…”
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Tuning multiple imputation by predictive mean matching and local residual draws by Morris, Tim P, White, Ian R, Royston, Patrick

“…Multiple imputation is a commonly used method for handling incomplete covariates as it can provide valid inference when data are missing at random. This…”
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Multiple Imputation by Chained Equations (MICE): Implementation in Stata by Royston, Patrick, White, Ian

“…Missing data are a common occurrence in real datasets. For epidemiological and prognostic factors studies in medicine, multiple imputation is becoming the…”
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A critical review of flexible and porous SERS sensors for analytical chemistry at the point-of-sample by Restaino, Stephen M., White, Ian M.

“…For decades surface enhanced Raman spectroscopy (SERS) has been intensely investigated as a possible solution for performing analytical chemistry at the point…”
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Multivariate Random-effects Meta-regression: Updates to Mvmeta by White, Ian R.

“…An extension of mvmeta, my program for multivariate random-effects meta-analysis, is described. The extension handles meta-regression. Estimation methods…”
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Screening for fetal growth restriction with universal third trimester ultrasonography in nulliparous women in the Pregnancy Outcome Prediction (POP) study: a prospective cohort study by Sovio, Ulla, PhD, White, Ian R, PhD, Dacey, Alison, MPhil, Pasupathy, Dharmintra, PhD, Smith, Gordon C S, Prof

“…Summary Background Fetal growth restriction is a major determinant of adverse perinatal outcome. Screening procedures for fetal growth restriction need to…”
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Missing Data in Clinical Research: A Tutorial on Multiple Imputation by Austin, Peter C., White, Ian R., Lee, Douglas S., van Buuren, Stef

“…Missing data is a common occurrence in clinical research. Missing data occurs when the value of the variables of interest are not measured or recorded for all…”
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Imputing missing covariate values for the Cox model by White, Ian R., Royston, Patrick

“…Multiple imputation is commonly used to impute missing data, and is typically more efficient than complete cases analysis in regression analysis when…”
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On the performance quantification of resonant refractive index sensors by White, Ian M, Fan, Xudong

“…Refractive index (RI) sensors based on optical resonance techniques are receiving a high degree of attention because of the need to develop simple, low-cost,…”
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Multiple imputation using chained equations: Issues and guidance for practice by White, Ian R., Royston, Patrick, Wood, Angela M.

“…Multiple imputation by chained equations is a flexible and practical approach to handling missing data. We describe the principles of the method and show how…”
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A comparison of seven random‐effects models for meta‐analyses that estimate the summary odds ratio by Jackson, Dan, Law, Martin, Stijnen, Theo, Viechtbauer, Wolfgang, White, Ian R.

“…Comparative trials that report binary outcome data are commonly pooled in systematic reviews and meta‐analyses. This type of data can be presented as a series…”
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A Guide to Handling Missing Data in Cost-Effectiveness Analysis Conducted Within Randomised Controlled Trials by Faria, Rita, Gomes, Manuel, Epstein, David, White, Ian R.

“…Missing data are a frequent problem in cost-effectiveness analysis (CEA) within a randomised controlled trial. Inappropriate methods to handle missing data can…”
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When should meta‐analysis avoid making hidden normality assumptions? by Jackson, Dan, White, Ian R.

“…Meta‐analysis is a widely used statistical technique. The simplicity of the calculations required when performing conventional meta‐analyses belies the…”
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Review of inverse probability weighting for dealing with missing data by Seaman, Shaun R, White, Ian R

“…The simplest approach to dealing with missing data is to restrict the analysis to complete cases, i.e. individuals with no missing values. This can induce…”
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Blood pressure and incidence of twelve cardiovascular diseases: lifetime risks, healthy life-years lost, and age-specific associations in 1·25 million people by Rapsomaniki, Eleni, Dr, Timmis, Adam, Prof, George, Julie, PhD, Pujades-Rodriguez, Mar, PhD, Shah, Anoop D, MRCP, Denaxas, Spiros, PhD, White, Ian R, PhD, Caulfield, Mark J, Prof, Deanfield, John E, Prof, Smeeth, Liam, Prof, Williams, Bryan, Prof, Hingorani, Aroon, Prof, Hemingway, Harry, Prof

“…Summary Background The associations of blood pressure with the different manifestations of incident cardiovascular disease in a contemporary population have…”
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Quantifying the impact of between-study heterogeneity in multivariate meta-analyses by Jackson, Dan, White, Ian R., Riley, Richard D.

“…Measures that quantify the impact of heterogeneity in univariate meta‐analysis, including the very popular I2 statistic, are now well established. Multivariate…”
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The Prevalence of Anxiety Disorders During Pregnancy and the Postpartum Period: A Multivariate Bayesian Meta-Analysis by Fawcett, Emily J, Fairbrother, Nichole, Cox, Megan L, White, Ian R, Fawcett, Jonathan M

“…To estimate the prevalence of anxiety disorders in pregnant and postpartum women and identify predictors accounting for variability across estimates. An…”
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Multiple imputation by chained equations for systematically and sporadically missing multilevel data by Resche-Rigon, Matthieu, White, Ian R

“…In multilevel settings such as individual participant data meta-analysis, a variable is ‘systematically missing’ if it is wholly missing in some clusters and…”
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