Preference for the EIA – conjoint results. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Marginal means – Pooled across scenarios. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Sample attribute table. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Subgroup analysis – Political affiliation. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Sample scenario description. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

AMCEs – Pooled across scenarios. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Methodological flowchart. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Preference for the EIA vs. ETA across scenarios. حسب Mehdi Mourali (10170245)

"…<div><p>The naive approach to preventing discrimination in algorithmic decision-making is to exclude protected attributes from the model’s inputs. This approach, known as “equal treatment,” aims to treat all individuals equally regardless of their demographic characteristics. …"

Immunogenicity results of different vaccination schemes at different time points. حسب Rima Moghnieh (679199)

الموضوعات:

Effectiveness of the available COVID-19 primary and booster vaccination schemes against laboratory-confirmed infections during the different waves. حسب Rima Moghnieh (679199)

الموضوعات:

Effectiveness of the available COVID-19 primary and booster vaccination schemes against acute-care hospitalization attributed to laboratory-confirmed infections during the differen... حسب Rima Moghnieh (679199)

الموضوعات:

Immunogenicity assessment groups based on the primary and booster vaccination schemes and timeframe from the second or booster dose. حسب Rima Moghnieh (679199)

الموضوعات:

Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the Omicron BA.4/BA.5 variant wave. حسب Rima Moghnieh (679199)

الموضوعات:

Humoral immune responses to SARS-CoV-2 spike protein following various primary vaccination schemes and booster doses with Sinopharm or Pfizer vaccines among COVID-19-naïve particip... حسب Rima Moghnieh (679199)

الموضوعات:

Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the Alpha variant wave. حسب Rima Moghnieh (679199)

الموضوعات:

Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the Omicron BA.1/BA.2 variant wave. حسب Rima Moghnieh (679199)

الموضوعات:

Fig 4 - حسب Rima Moghnieh (679199)

الموضوعات:

Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the Delta variant wave. حسب Rima Moghnieh (679199)

الموضوعات:

Demographic and clinical characteristics of the participants used to estimate effectiveness of the different vaccination schemes during the mixed Delta and Omicron variant wave. حسب Rima Moghnieh (679199)

الموضوعات:

COVID-19 in Lebanon: The daily number of COVID-19 cases throughout the waves of the pandemic in Lebanon and associated SARS-CoV-2 variants between January 2021 and September 2022. حسب Rima Moghnieh (679199)

الموضوعات: