Row 5912

Row ID: 5912 | Dataset Entry | Axioma AXP Content Repository

Content Data

This page contains data entry 5912 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I have found the following formula in [Munn et al.](https://pubmed.ncbi.nlm.nih.gov/25197676/):

𝑁=𝑍\^2𝑃(1−𝑃)/𝑑\^2

* 𝑁 = sample size * 𝑍 = statistic for a level of confidence * 𝑃 = expected prevalence * 𝑑 = precision

The problem I am finding is that I am trying to use this formula to assess the quality of several studies for a meta-analysis and all the studies I have reviewed so far do not provide a 𝑑 value, but only the total number of subjects, the number of subjects with the disease and the corresponding percentage. These are epidemiological studies on the prevalence of a disease in the general population and there is no exposure, so no comparison between cases in exposed and non-exposed subjects is made. The only data available is how many subjects in the sample exhibit the disease. Is there a way for me to calculate d by only using the information provided in the article?

Field	Value
text	I have found the following formula in [Munn et al.](https://pubmed.ncbi.nlm.nih.gov/25197676/): 𝑁=𝑍\^2𝑃(1−𝑃)/𝑑\^2 * 𝑁 = sample size * 𝑍 = statistic for a level of confidence * 𝑃 = expected prevalence * 𝑑 = precision The problem I am finding is that I am trying to use this formula to assess the quality of several studies for a meta-analysis and all the studies I have reviewed so far do not provide a 𝑑 value, but only the total number of subjects, the number of subjects with the disea…
label	r/epidemiology
dataType	post
communityName	r/epidemiology
datetime	2024-05-05
username_encoded	Z0FBQUFBQm5LakwyMUlMMVNpbTNvUTVKRkp3cjlqNnVmcUstZFFScHBENU5LMGJOYW04SWxNekkzWms4Sjh3Wm5pXzVOZTZVaklDQlVoVENLa1I5ei1VYmJBVmVGMUVHdWc1eThHOU5xc1hvdWZGVVJfWXFQakE9
url_encoded	Z0FBQUFBQm5Lak9HT19jOWdUbTY1Tjdfb01nYmtleWVfRG5xaFFpQ0J5dDZoTzRsdFZ0bWpLM21rYzZzQUs5blM4alF2SFhhS3U5elc5NGJCZGl5YzA2ZllnRVBKaTBBS2ota3BMZnZoTl9Cd1NSUWhTa1Z6aEFkbHVFNS1IRkxyTW1HUGRuUmNZQmY0SDFqcDk5T1NGcnFxS2gzN09scU1YRWc0T1RZM2RMb3FhN0NyaVJIcE1YNVl0WTl6c1JDM2xZWkdCSU05UzhRNnBSd0UtQ1A3WURuU0dNQ3JvWWFpUT09

Raw Record

{
  "text": " \n\nI have found the following formula in [Munn et al.](https://pubmed.ncbi.nlm.nih.gov/25197676/):\n\n𝑁=𝑍\\^2𝑃(1−𝑃)/𝑑\\^2\n\n* 𝑁 = sample size\n* 𝑍 = statistic for a level of confidence\n* 𝑃 = expected prevalence\n* 𝑑 = precision\n\nThe problem I am finding is that I am trying to use this formula to assess the quality of several studies for a meta-analysis and all the studies I have reviewed so far do not provide a 𝑑 value, but only the total number of subjects, the number of subjects with the disease and the corresponding percentage. These are epidemiological studies on the prevalence of a disease in the general population and there is no exposure, so no comparison between cases in exposed and non-exposed subjects is made. The only data available is how many subjects in the sample exhibit the disease. Is there a way for me to calculate d by only using the information provided in the article?",
  "label": "r/epidemiology",
  "dataType": "post",
  "communityName": "r/epidemiology",
  "datetime": "2024-05-05",
  "username_encoded": "Z0FBQUFBQm5LakwyMUlMMVNpbTNvUTVKRkp3cjlqNnVmcUstZFFScHBENU5LMGJOYW04SWxNekkzWms4Sjh3Wm5pXzVOZTZVaklDQlVoVENLa1I5ei1VYmJBVmVGMUVHdWc1eThHOU5xc1hvdWZGVVJfWXFQakE9",
  "url_encoded": "Z0FBQUFBQm5Lak9HT19jOWdUbTY1Tjdfb01nYmtleWVfRG5xaFFpQ0J5dDZoTzRsdFZ0bWpLM21rYzZzQUs5blM4alF2SFhhS3U5elc5NGJCZGl5YzA2ZllnRVBKaTBBS2ota3BMZnZoTl9Cd1NSUWhTa1Z6aEFkbHVFNS1IRkxyTW1HUGRuUmNZQmY0SDFqcDk5T1NGcnFxS2gzN09scU1YRWc0T1RZM2RMb3FhN0NyaVJIcE1YNVl0WTl6c1JDM2xZWkdCSU05UzhRNnBSd0UtQ1A3WURuU0dNQ3JvWWFpUT09"
}

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Entry Information

Entry ID: 5912
Repository: Axioma AXP
Dataset: arrmlet/reddit_dataset_36
Total Entries: 100,000