Statistical Development on Determining the Minimum Clinically Important Difference
نویسنده
چکیده
In medical research, the concept of minimum clinically important difference (MCID) has gained its popularity among clinical practitioners and health policy markers. Over the past 20 years, intensive research has been conducted to explore how clinical significance could be interpreted from the patient reported outcomes (PROs) by using MCID. This article aims to provide a review on the statistical development on the determination of MCID.
منابع مشابه
Introduction to biostatistics: Part 3. Statistical approaches to uncertainty: P values and confidence intervals unpacked.
(the difference in risk) is estimated to be 19.6% with a 95% CI of 5.7% to 33.6%. The P value of 0.006 means that an ARR of 19.6% or more would occur only in 6 in 1000 trials if streptomycin was equally as effective as bed rest. Since the P value is less than 0.05, the results are statistically significant (i.e., it is unlikely that streptomycin is ineffective in preventing death). The 95% CI s...
متن کاملPain relief that matters to patients: systematic review of empirical studies assessing the minimum clinically important difference in acute pain
BACKGROUND The minimum clinically important difference (MCID) is used to interpret the clinical relevance of results reported by trials and meta-analyses as well as to plan sample sizes in new studies. However, there is a lack of consensus about the size of MCID in acute pain, which is a core symptom affecting patients across many clinical conditions. METHODS We identified and systematically ...
متن کاملDetermining the most appropriate probability distribution function for calculate and compare the SPEI and SPI drought index in Tehran
Introduction: The study of drought as a natural phenomenon that affects the lives of most people is very important. According to researchers in the field of drought, rainfall, temperature, evaporation, wind and relative humidity have been shown to play an important role in drought. The low variety of data required and the simplicity of calculating the SPI index led to its widespread use. The ef...
متن کاملThe role of the minimum clinically important difference and its impact on designing a trial.
The minimum clinically important difference (MCID) between treatments is recognized as a key concept in the design and interpretation of results from a clinical trial. Yet even assuming such a difference can be derived, it is not necessarily clear how it should be used. In this paper, we consider three possible roles for the MCID. They are: (1) using the MCID to determine the required sample si...
متن کاملDetermining Effective Factors on Gullies Development in Mazayjan Watershed, Fars Province, Using Multivariate Statistical Methods
Gully erosion is one of the causes of land degradation, which causes a lot of damage with the loss of fertile soil. For this purpose, in the present study, using the Cochran relation, 40 gullies were selected for measurement in the Mazayjan watershed located in the southeast of Fars province. Factor analysis method was used to determine the factors affecting the classification of samples. Backw...
متن کامل