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Search · four archives
15 papers · ranked by Valyu relevance
Stela Pudar Hozo, Benjamin Djulbegovic, Iztok Hozo
Background Usually the researchers performing meta-analysis of continuous outcomes from clinical trials need their mean value and the variance (or standard deviation) in order to pool data. However, sometimes the published reports of clinical trials only report the median, range and the size of the trial. Methods In…
Xiang Wan, Wenqian Wang, Jiming Liu, Tiejun Tong
Background In systematic reviews and meta-analysis, researchers often pool the results of the sample mean and standard deviation from a set of similar clinical trials. A number of the trials, however, reported the study using the median, the minimum and maximum values, and/or the first and third quartiles. Hence, in…
Ke Yang, Jiandong Shi, Jianxin Pan, Jiming Liu + 2 more
Meta-analysis with continuous outcomes presents a range of methodological challenges. Among these, two issues have received increasing attention: (i) integrating studies that report only the five-number summary (such as the median, interquartile range, and range) rather than the sample mean and standard deviation (SD)…
Marilyn N. Martinez, Mary J. Bartholomew, Arlene McDowell, Neal Davies
'Neal Davies'] Typically, investigations are conducted with the goal of generating inferences about a population (humans or animal). Since it is not feasible to evaluate the entire population, the study is conducted using a randomly selected subset of that population. With the goal of using the results generated from…
Molly E. Contini, Jeffrey R. Spence, David J. Stanley
Title: Graphical abstract
Tiffany N. Kolba, Alexander Bruno, Eugene Demidenko
We examine the accuracy and precision of parameter estimates for both the exponential and normal distributions when using only a collection of sample extremes. That is, we consider a collection of random variables, where each of the random variables is either the minimum or maximum of a sample of n*j independent…
Weifeng Liu, Ying Jiang, Yuesheng Xu, Karsten Keller
Sample entropy, an approximation of the Kolmogorov entropy, was proposed to characterize complexity of a time series, which is essentially defined as $(-log(B/A))$, where B denotes the number of matched template pairs with length m and A denotes the number of matched template pairs with $(m+1)$, for a predetermined…
Konstantin Avrachenkov, Vivek S. Borkar, Arun Kadavankandy, Jithin K. Sreedharan
'Jithin K. Sreedharan'] Background In the framework of network sampling, random walk (RW) based estimation techniques provide many pragmatic solutions while uncovering the unknown network as little as possible. Despite several theoretical advances in this area, RW based sampling techniques usually make a strong…
Hideyasu Shimadzu, Ross Darnell
Quantifying biodiversity aspects such as species presence/ absence, richness and abundance is an important challenge to answer scientific and resource management questions. In practice, biodiversity can only be assessed from biological material taken by surveys, a difficult task given limited time and resources. A type…
Ben O’Neill, Zhongxue Chen
We analyse standard confidence intervals for the mean of a finite population, with a view to sample size determination. We first consider a standard method for sample size determination based on the assumption of knowledge of the population variance parameter. We then consider the more realistic case where the…
Ralf Bender, Lars Beckmann
Background Incidence density ratios (IDRs) are frequently used to account for varying follow-up times when comparing the risks of adverse events in two treatment groups. The validity of the IDR as approximation of the hazard ratio (HR) is unknown in the situation of differential average follow up by treatment group and…
Linke Li, Hawre Jalal, Anna Heath
[Download Media](sj-pdf-3-mdm-10.1177_0272989X251324936.pdf) Supplemental material, sj-pdf-3-mdm-10.1177_0272989X251324936 for A Nonparametric Approach for Estimating the Effective Sample Size in Gaussian Approximation of Expected Value of Sample Information by Linke Li, Hawre Jalal and Anna Heath in Medical Decision…
Dan Jackson, Jack Bowden, Rose Baker
Moment-based estimators of the between-study variance are very popular when performing random effects meta-analyses. This type of estimation has many advantages including computational and conceptual simplicity. Furthermore, by using these estimators in large samples, valid meta-analyses can be performed without the…
Dipro Mondal, Math J J M Candel, Alberto Cassese, Sophie Vanbelle
The reliability of measurement instruments is vital in fields like medicine and psychology, where these tools are often used for diagnostic purposes. In reliability studies where participants are assessed by the same set of raters, the data can be modeled using a two-way ANOVA, with the intraclass correlation…
Dipro Mondal, Sophie Vanbelle, Alberto Cassese, Math JJM Candel
Reliability of measurement instruments providing quantitative outcomes is usually assessed by an intraclass correlation coefficient. When participants are repeatedly measured by a single rater or device, or, are each rated by a different group of raters, the intraclass correlation coefficient is based on a one-way…