Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313484032> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W4313484032 endingPage "1550" @default.
- W4313484032 startingPage "1550" @default.
- W4313484032 abstract "<ns3:p><ns3:bold>Background:</ns3:bold> Many randomized trials measure a continuous outcome simultaneously at baseline and after taking the drug. For a single continuous post-treatment outcome, the sample size calculation is simple, but if there are assessments at multiple time points post-treatment then this longitudinal data may give more insights by analyzing the data using the repeated measures method. Also, if the sample size is calculated using the single time-point method for longitudinal data, it may lead to a larger than required sample size, increasing the cost and time.</ns3:p><ns3:p> <ns3:bold>Methods:</ns3:bold> In this research, an effort is made to determine the size of the sample for repeated measures case and then compared with the single post-baseline case. The sample sizes were examined under different scenarios for the continuous type of response variable. Under Mean contrast and Diff contrast the sample sizes were calculated with different correlations. These two scenarios were again examined under compound symmetry as well as Auto regressive of order 1 type of correlation structure in longitudinal data. The graphical presentation is given for better visualization of the scenarios.</ns3:p><ns3:p> <ns3:bold>Results:</ns3:bold> Sample size required for highly correlated longitudinal data using multi timepoint sample size derivation method led to much smaller sample size requirement as compared to single timepoint sample size calculation method.</ns3:p><ns3:p> <ns3:bold>Conclusions:</ns3:bold> This study will help researchers to make better decisions in choosing the right method for sample size determination which may reduce the time and cost of carrying out the experiment. Also, we must carefully assess which method to go with when the correlation is weak. More complex correlation structures are not studied in this article but can be studied in the same fashion.</ns3:p>" @default.
- W4313484032 created "2023-01-06" @default.
- W4313484032 creator A5015921105 @default.
- W4313484032 creator A5017181018 @default.
- W4313484032 creator A5077446353 @default.
- W4313484032 date "2022-12-21" @default.
- W4313484032 modified "2023-10-18" @default.
- W4313484032 title "Sample size variation in single-time post-dose assessment vs multi-time post-dose assessment" @default.
- W4313484032 cites W1966573670 @default.
- W4313484032 cites W1971518243 @default.
- W4313484032 cites W2003409439 @default.
- W4313484032 cites W2093242458 @default.
- W4313484032 cites W2320755612 @default.
- W4313484032 cites W2903317123 @default.
- W4313484032 cites W4210365181 @default.
- W4313484032 cites W4235462870 @default.
- W4313484032 doi "https://doi.org/10.12688/f1000research.124917.1" @default.
- W4313484032 hasPublicationYear "2022" @default.
- W4313484032 type Work @default.
- W4313484032 citedByCount "0" @default.
- W4313484032 crossrefType "journal-article" @default.
- W4313484032 hasAuthorship W4313484032A5015921105 @default.
- W4313484032 hasAuthorship W4313484032A5017181018 @default.
- W4313484032 hasAuthorship W4313484032A5077446353 @default.
- W4313484032 hasBestOaLocation W43134840321 @default.
- W4313484032 hasConcept C105795698 @default.
- W4313484032 hasConcept C117220453 @default.
- W4313484032 hasConcept C121332964 @default.
- W4313484032 hasConcept C129848803 @default.
- W4313484032 hasConcept C154945302 @default.
- W4313484032 hasConcept C185592680 @default.
- W4313484032 hasConcept C198531522 @default.
- W4313484032 hasConcept C24890656 @default.
- W4313484032 hasConcept C2524010 @default.
- W4313484032 hasConcept C2776502983 @default.
- W4313484032 hasConcept C2779466056 @default.
- W4313484032 hasConcept C33923547 @default.
- W4313484032 hasConcept C41008148 @default.
- W4313484032 hasConcept C43617362 @default.
- W4313484032 hasConceptScore W4313484032C105795698 @default.
- W4313484032 hasConceptScore W4313484032C117220453 @default.
- W4313484032 hasConceptScore W4313484032C121332964 @default.
- W4313484032 hasConceptScore W4313484032C129848803 @default.
- W4313484032 hasConceptScore W4313484032C154945302 @default.
- W4313484032 hasConceptScore W4313484032C185592680 @default.
- W4313484032 hasConceptScore W4313484032C198531522 @default.
- W4313484032 hasConceptScore W4313484032C24890656 @default.
- W4313484032 hasConceptScore W4313484032C2524010 @default.
- W4313484032 hasConceptScore W4313484032C2776502983 @default.
- W4313484032 hasConceptScore W4313484032C2779466056 @default.
- W4313484032 hasConceptScore W4313484032C33923547 @default.
- W4313484032 hasConceptScore W4313484032C41008148 @default.
- W4313484032 hasConceptScore W4313484032C43617362 @default.
- W4313484032 hasLocation W43134840321 @default.
- W4313484032 hasOpenAccess W4313484032 @default.
- W4313484032 hasPrimaryLocation W43134840321 @default.
- W4313484032 hasRelatedWork W1771779360 @default.
- W4313484032 hasRelatedWork W1988747059 @default.
- W4313484032 hasRelatedWork W1993731342 @default.
- W4313484032 hasRelatedWork W2057598446 @default.
- W4313484032 hasRelatedWork W2119095362 @default.
- W4313484032 hasRelatedWork W2172032168 @default.
- W4313484032 hasRelatedWork W2290081135 @default.
- W4313484032 hasRelatedWork W3022782703 @default.
- W4313484032 hasRelatedWork W3210933308 @default.
- W4313484032 hasRelatedWork W871906761 @default.
- W4313484032 hasVolume "11" @default.
- W4313484032 isParatext "false" @default.
- W4313484032 isRetracted "false" @default.
- W4313484032 workType "article" @default.