Effect of the smoking factor on lung function parameters (FVC, FEV1, PEF, FEF 25_75). by Prasanna Herath (20714794)

BMI groups by SES. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part2. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for LSES population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for HSES population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Logistic regression for overall population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

BMISES_Data_Part1. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Baseline characteristics of HSES/LSES population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Baseline characteristics of overall population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Diagram of study population. by Krystal Hunter (6820052)

“…This is a case control study using the <a href="http://www.cdc.gov/nchs/births.htm" target="_blank">Natality</a> Data of the <a href="http://www.cdc.gov/nchs/nvss.htm" target="_blank">National Vital Statistics System</a> from the years 2020–2022. BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”

Effects of busulfan treatment on CX43 and N-Cadherin. by Lingjun Zhao (21763122)

Modified version of the Caregiving Stress Model for Post Intensive Care Syndrome – Family impairments. by Cristobal Padilla-Fortunatti (21376807)

Subjects:

SPIRIT schedule: Timeline of recruitment and assessment. <i>t</i>₀: Daily screening; <i>t</i>₁: Between the 3^rd and 10^th day of ICU admi... by Cristobal Padilla-Fortunatti (21376807)

Subjects:

Questionnaire description. by Cristobal Padilla-Fortunatti (21376807)

Subjects:

Variables and generalized linear mixed models to explore PICS-F impairments. by Cristobal Padilla-Fortunatti (21376807)

Subjects:

Table 2 - by Rosanna Mary Rooney (17595801)

“…Additionally, it will likely highlight significant trends in risk and protective factors, such as the dual role of academic achievement—both as a risk and protective factor—and the impact of family-based interventions. …”

Absolute β convergence results. by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Conditional β convergence results. by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”

Markov transition probability matrix (k = 4). by Ke Liu (121889)

“…Instead, there was a significant β divergence, indicating that the gap between the Xi’an metropolitan agglomeration’s population agglomeration level and that of other metropolitan agglomerations is gradually widening. …”