Merge pull request #5 from covidclinical/ChuanHong-testing

Update README.md

README.md

@@ -20,10 +20,10 @@ The R library (`FourCePhase2.1Data`) in this repository contains functions that
 
 1. **QC for Phase1.1**. We will check the following critera: 
 + Demographics:  
-  + if there is missing demographic groups (e.g., missing age group); 
+  + if there is missing demographics groups (e.g., missing age group); 
   + if there is negative patient numbres or counts; 
   + if there is number of all patients less than the number of severe patients. 
-  + if the sum of different demopgrahic groups is equal to the patient numbers for "all". Please note the QC only checks the groups without obfuscation (-99). For example, if the number of patients in age_group "0to25" is -99, then the QC will not check if the sum of all age_group is equal to the patient numbers for "all".
+  + if the sum of different demographics groups is equal to the patient numbers for "all". Please note the QC only checks the groups without obfuscation (-99). For example, if the number of patients in age_group "0to25" is -99, then the QC will not check if the sum of all age_group is equal to the patient numbers for "all".
 + Medications and Diagnoses:
   + if there is any code not belong to the list of medclass or ICD codes; 
   + if there is negative patient numbers or counts; 
@@ -33,24 +33,24 @@ The R library (`FourCePhase2.1Data`) in this repository contains functions that
   + if there is negative patients nubmers; 
   + if there is negative measures in the original scale.
 + Cross over comparison: 
-  + if the number of patients in DailyCounts, ClincalCourse, and Demographic are consistent; 
-  + if the number of severe patients in DailyCounts, ClinialCourse, and Demographic are consistent;
+  + if the number of patients in DailyCounts, ClincalCourse, and Demographics are consistent; 
+  + if the number of severe patients in DailyCounts, ClinialCourse, and Demographics are consistent;
   + if in any of Medications, Diagnoses or Labs, the number of patients with the code is greater than number of all patients. 
 + Lab units: check if the lab measures are consistently outside the confidence range.
 
 2. **QC for Phase2.1**. We will check if the summary statistics obtained from Phase 2.1 patient-level data is consistent with Phase1.1 aggregated data:
-+ Demographcis:
-  + if there is duplicated row for the same demographic group;
++ Demographics:
+  + if there is duplicated row for the same demographics group;
   + if n_all_before, n_all_since, n_severe_before, n_severe_since are different between phase2.1 and phase1.1;
 + Labs:
   + if there is duplicated row for the same lab on the same day but with different counts/measures;
-  + if n_all, mean_all, stdev_all, n_severe, mean_severe, stdev_severe at day0 are different between phase2.1 and phase1.1. Because the definitions of the date at admission are slightly different between Phase1.1 and Phase2.1, an error of less than 1% is allowed. For example, n_all from phase1.1 should be within the range (0.99n_all,1.01n_all) from phase2.1
+  + if n_all, mean_all, stdev_all, n_severe, mean_severe, stdev_severe at day0 are different between phase2.1 and phase1.1. Because the definitions of the date at admission are slightly different between Phase1.1 and Phase2.1, an error of less than 1% is allowed. For example, n_all from phase1.1 should be within the range (0.99n_all,1.01n_all) from phase2.1.
 + Medications:
   + if there is duplicated row for the same MEDCLASS on the same day but with different counts;
-  + if n_all_before, n_all_since, n_severe_before, n_severe_since are different between phase2.1 and phase1.1. Because the definitions of the date at admission are slightly different between Phase1.1 and Phase2.1, an one day leevay is allowed. For example, n_all_since from phase1.1 should be within the range (n_all for day>0, n_all for day>=0) from phase2.1. 
+  + if n_all_before, n_all_since, n_severe_before, n_severe_since are different between phase2.1 and phase1.1. Because the definitions of the date at admission are slightly different between Phase1.1 and Phase2.1, an one day leeway is allowed. For example, n_all_since from phase1.1 should be within the range (n_all for day>0, n_all for day>=0) from phase2.1. 
 + Diagnoses:
   + if there is duplicated row for the same ICD code on the same day but with different counts;
-  + if n_all_before, n_all_since, n_severe_before, n_severe_since are different between phase2.1 and phase1.1. Because the definitions of the date at admission are slightly different between Phase1.1 and Phase2.1, an one day leevay is allowed. For example, n_all_since from phase1.1 should be within the range (n_all for day>0, n_all for day>=0) from phase2.1. 
+  + if n_all_before, n_all_since, n_severe_before, n_severe_since are different between phase2.1 and phase1.1. Because the definitions of the date at admission are slightly different between Phase1.1 and Phase2.1, an one day leeway is allowed. For example, n_all_since from phase1.1 should be within the range (n_all for day>0, n_all for day>=0) from phase2.1. 
 + ClinicalCourse:
   + if there is duplicated row for days_since_admission but with different counts;
   + if num_patients_all_still_in_hospital, num_patients_ever_severe_still_in_hospital are different between phase2.1 and phase1.1;