Statsols Blog

Intact social cognitive processes in outpatients with anorexia nervosa: a pilot study

nQuery Sample Size Calculator has been featured in another interesting study.

The aim of this article "was to assess social cognition in community patients suffering from anorexia nervosa (AN) compared to healthy controls".

Anorexia  nervosa — often simply called anorexia — is an eating disorder with an intense fear of gaining weight. People with anorexia go to extreme lengths in order to avoid gaining weight. This has a huge impact on them both physically and mentally.  

Below is an abstract from the article

The research hypothesis indicated that patients suffering from anorexia represent no significant difference in social cognitive functioning in comparison to the healthy controls. These assessment scales were used to identify whether there are any problems according to social cognitive functioning especially emotion recognition and theory of mind (ToM). The primary outcome assessment was to identify social cognitive deficits in anorexic outpatients and secondary outcome was to verify whether these problems in emotional functioning found in women in acute phase of AN are state or trait effects. Full Article

Topics: nQuery Publications Citing nQuery Sample Size Calculator

Effectiveness and Safety of a Novel Flunixin Meglumine Transdermal Pour-On Solution in the Treatment of Bovine Respiratory Disease

"The safety and effectiveness of a new flunixin transdermal pour-on solution for cattle was evaluated as adjunct therapy in the treatment of bovine respiratory disease (BRD), compared to a positive control group treated with carprofen injectable solution. A total of 206 animals, showing severe signs of respiratory disease, were randomly assigned to treatment with either the test product, flunixin (Finadyne® Transdermal; MSD Animal Health) administered topically once along the dorsal midline, or the control product, carprofen (Rimadyl®; Zoetis) administered by subcutaneous injection once, on day 0. All animals received cefquinome (Cobactan® LA 7.5%; MSD Animal Health) on day 0 and day 2. The animals were observed for clinical signs of disease for 6 hours following treatment initiation and daily thereafter for 5 consecutive days. The decrease in rectal temperature 6 hours after treatment initiation was greater (p<0.0001) in the flunixin group (-1.30°C) compared to the control group (-0.96°C). In both treatment groups, rectal temperature and clinical index (depression and respiratory signs) improved similarly over time. The Finadyne® Transdermal 50 mg/ml pour-on solution for cattle was found to be a safe and efficacious therapy in the treatment of signs of inflammation associated with naturally occuring bovine respiratory disease." Continue reading Full Article

Topics: Clinical Trials nQuery

STUDY: Pre-surgical depression and anxiety and recovery following coronary artery bypass graft surgery

nQuery Sample Size Calculator has been featured in another interesting study, this time published in the Journal of Behavioral Medicine.

The study states that "co-morbid depression is commonly observed in patients suffering from coronary heart disease (Dickens 2015). Two landmark studies documented the impact of depression on survival following coronary artery bypass graft (CABG) surgery".

The study "aimed to explore the combined contribution of pre-surgical depression and anxiety symptoms for recovery following coronary artery bypass graft (CABG) using data from 251 participants. Participants were assessed prior to surgery for depression and anxiety symptoms and followed up at 12 months to assess pain and physical symptoms, while hospital emergency admissions and death/major adverse cardiac events (MACE) were monitored on average 2.68 years after CABG." 

Topics: nQuery Publications Citing nQuery Sample Size Calculator

Clinical Trials Data Dive - Results from 220,000 clinical trials

Statsols looked at data from 220,000 clinical trials. Below are just some of the points we found.

As you may know, Section 801 of the Food and Drug Administration Amendments Act (FDAAA 801) requires the registration and submission of summary results of clinical trials with The law applies to certain clinical trials of drugs (including biological products) and medical devices. At the time of publishing currently has over 220,000 clinical trials registered. We examined the data to get some interesting results on a few topics such as:

Topics: Clinical Trials

Power Combined with Precision Helps Improve Sample Size Justification


Topics: Power & Sample Size

Thoughts on the ASA P Values Statement

“When a measure becomes a target, it ceases to be a good measure”

Topics: Industry News

Essential Steps to Determine Sample Size and Power for Clinical Trials




Determination of the appropriate sample size is a crucial part of study design. A sample size must be chosen correctly to allow a study to arrive at valid conclusions. A study that is too small may produce inconclusive results, while a study that is too large will waste scarce resources.

In this white paper we will outline the 5 stage process for determining appropriate power or sample size for clinical trials.

Step 1: Formulate the Study

Before any calculation is conducted, you need to ask yourself a series of questions about the type of analysis you are planning to conduct and therefore what statistical method is most appropriate for your particular study. For exampl

Topics: Power & Sample Size

Monday at JSM 2015, what are you attending?

With JSM 2015 now in full swing here are the talks Statistical Solutions would be attending today, Monday August 10th. 

Today we've focused on techniques for handling missing data with a particular focus on modern and novel techniques and applications in survey research and government statistics. 

Topics: JSM 2015

An Overview of Multiple Imputation in SOLAS for Missing Data 5.0

In our previous post we discussed the pervasive problem of missing data in data analysis. To recap quickly, in a data set with 5 variables measured at the start of a study and monthly for six months, if each variable is 95% complete with a random 5% of the values missing, then the proportion of cases that are expected to be incomplete are 1-(.95)^35= 0.834. That is, only 17% of the cases would be complete and with traditional complete case analysis, you would then lose 83% of your data.

How It Works?

With Solas 5.0TM, missing values in a data set are filled-in with plausible estimates to produce a complete data set that can be analyzed using complete-data inferential methods and designed to accommodate a range of missing data scenarios in both longitudinal and single-observation study designs.

Topics: Missing Data Multiple Imputation Hot Deck Imputation

Missing Data - A Pervasive Problem in Data Analysis

Missing data are a pervasive problem in data analysis. Missing values lead to less efficient estimates because of the reduced size of the database, also standard complete-data methods of analysis no longer apply. For example, analyses such as multiple regression use only cases that have complete data, so including a variable with numerous missing values would severely reduce the sample size.

Topics: Missing Data